Principal research scientist jobs in Springfield, IL

PLEASE NOTE: This role will be working in the Redwood City, CA office. The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications and AI agents. We work on real-world AI applications, deploying scalable and production-ready solutions across Oracle's Enterprise customers. If you are passionate about Data, LLM, AI Agents, Retrieval-Augmented Generation (RAG), and Enterprise scale AI, we want you on our team! About the Team The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications and AI agents. We work on real-world AI applications, deploying scalable and production-ready solutions across Oracle's Enterprise customers. If you are passionate about Data, LLM, AI Agents, Retrieval-Augmented Generation (RAG), and Enterprise scale AI, we want you on our team! What You'll Do + Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products. + Develop algorithms and solutions using Reinforcement learning, Adversarial Generation and other data augment techniques for auto-evaluation. + Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows. + Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making. + Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance + Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments. + Collaborate with cross-functional teams to integrate AI solutions into products and services at scale. + Communicate and share work at both internal and external technical communities. What We're Looking For: + Minimum of 12 years in a related position + Master's degree in computer science, statistics, or machine learning. Ph.D. degree in AI/ML or statistics preferred. + Real-world experiences in productionizing AI/ML systems and AI/ML model development life cycles. + Strong expertise in Machine Learning/AI, Statistics, and Algorithms + Strong expertise in large scale distributed or high-performance systems. + Deep understanding of Agentic Workflows, AI Agents, or RAG architectures. + Hands-on experience with Crew.ai , Langchain, and similar AI development frameworks is a plus. + Knowledge of vector databases, particularly Oracle Vector Database (a plus). + Experience deploying AI applications/services in hyperscalers (AWS, Azure, GCP,OCI) is highly preferred + Strong problem-solving skills and ability to build AI-powered solutions from concept to deployment. + String communication skills and being comfortable of working with fuzziness. + Experiences with building 0-1 products are highly preferred. + Proficiency in Python and familiarity with relevant ML/AI libraries. If you're excited about AI Agents, RAG, and building AI-powered solutions that scale, apply now and be part of our Applied AI team! **Responsibilities** + Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products. + Develop algorithms and solutions using Reinforcement learning, Adversarial Generation and other data augment techniques for auto-evaluation. + Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows. + Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making. + Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance + Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments. + Collaborate with cross-functional teams to integrate AI solutions into products and services at scale. + Communicate and share work at both internal and external technical communities. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Become a part of our caring community and help us put health first** Become a part of our caring community and help us put health first As a Senior Associate, Model Performance & Orchestration, you'll play a strategic role in analyzing and interpreting data across Humana & CenterWell. You'll help uncover insights that inform marketing strategies, improve member engagement, and support clinical and operational excellence. This role is ideal for someone who thrives in a data-rich environment and enjoys connecting analytics to real-world health outcomes. **Role Responsibilities** You'll lead analytical efforts that support integrated health initiatives across Humana & CenterWell. **Key responsibilities include:** + Design and execute complex analyses to evaluate marketing performance, member behavior, and health outcomes + Leverage dashboards and reporting tools to provide actionable insights to stakeholders + Collaborate with cross-functional teams to align analytics with strategic goals + Translate business questions into data-driven approaches and present findings to leadership + Ensure data integrity through rigorous validation, documentation, and quality control + Identify opportunities for optimization and innovation in marketing and engagement strategies + Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc. + Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for revenue generation, and other business outcomes. + Conduct a power analysis, hypothesis testing, develop marketing A/B test design, support implementation of the tests and present the statistical findings of the test to our business partners. + Test Design and Analysis: responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated. Responsible for advocating and building the discipline for continual testing, measurement, and iteration. Your work will help Humana deliver more personalized, effective care experiences by connecting data to strategy and execution. **Use your skills to make an impact** **Use your skills to make an impact** **Required Qualifications** + Bachelor's degree in Data Analytics, Economics, Business, or related quantitative field + 3-5 years of professional experience in data analytics or data science + 3-5 years of professional experience in SQL, Python, or R for data analysis and modeling + 3-5 years of professional experience mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions + 3-5 years of professional experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting + 3-5 years of professional experience creating reports, projections, models, and presentations to support business strategy and tactics + 1-3 years of professional experience with data visualization tools (e.g., Tableau, Power BI) + 1-3 years professional experience setting up causal inference experiments + Excellent communication skills and ability to present complex findings clearly **Preferred Qualifications** + Experience working with integrated health data (clinical + marketing) + Master's degree in a quantitative or healthcare-related field + Familiarity with HIPAA and healthcare compliance standards + Experience with Snowflake/ Databricks + Marketing experience a plus + Experience with Adobe Analytics Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-04-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Are you ready to lead the next wave of innovation in carbohydrate materials and engineering? We are seeking an exceptional Principal Scientist to drive cutting-edge research, development, and engineering efforts in carbohydrate-based materials. This role combines scientific expertise, engineering acumen, and leadership to deliver transformative solutions across industries such as food, construction, fermentation, plant care, packaging, papers, and personal care. Position Overview As a Principal Scientist specializing in carbohydrate materials, you will lead multidisciplinary teams to design, develop, and optimize advanced carbohydrate-based systems and processes. You will play a critical role in bridging science and engineering, applying your deep expertise to create high-value materials and ingredients that drive commercial success. This role goes beyond research-it demands a visionary leader who can integrate engineering principles with scientific discovery to develop scalable processes and systems. You will collaborate across functions, manage complex projects, and mentor teams to ensure delivery of innovative solutions. Your contributions will position you as a thought leader within the organization and the broader scientific and engineering communities. Key Responsibilities * Process Design and Optimization: * Lead the design, development, and optimization of scalable manufacturing processes for carbohydrate-based materials using advanced engineering principles. * Oversee process development efforts, including extrusion, chemical reactor systems, mixing technologies, and pilot-scale production. * Develop and implement strategies to improve efficiency, reduce waste, and enhance sustainability in carbohydrate material production. * Technology Integration: * Evaluate and implement emerging technologies, including advanced manufacturing techniques and automation systems, to drive innovation in carbohydrate materials engineering. * Collaborate with operations teams to integrate new processes into existing manufacturing systems while ensuring compatibility, scalability, and cost-effectiveness. * Equipment and Pilot Plant Management: * Provide technical leadership in the operation, maintenance, and optimization of pilot and lab-scale equipment. * Design and execute experimental plans to test and refine equipment performance for carbohydrate-based systems. Leadership and Project Management * Team Leadership: * Lead cross-functional teams, including scientists, engineers, and technicians, to drive complex R&D and engineering projects from concept to commercialization. * Mentor and develop team members, fostering a culture of innovation, collaboration, and technical excellence. * Strategic Planning: * Develop and execute strategic plans for carbohydrate materials R&D, aligning with business goals and market trends. * Identify opportunities for growth and innovation, proactively proposing new projects and initiatives that advance organizational objectives. * Project Management: * Manage large-scale, multidisciplinary projects using gated project management methodologies, ensuring on-time delivery of milestones and objectives. * Coordinate resources, budgets, and timelines to achieve project success while maintaining alignment with safety and quality standards. Research and Development * Material Innovation: * Lead efforts to modify and engineer carbohydrate materials for enhanced functionality, performance, and sustainability across diverse applications. * Develop advanced carbohydrate-based systems for industries such as packaging, construction, fermentation, plant care, and personal care. * Experimental Design and Analysis: * Design and execute robust experimental plans to investigate the chemical, physical, and mechanical properties of carbohydrate systems. * Apply advanced statistical tools and design of experiments (DOE) software to optimize experimental designs and extract actionable insights. Technical Expertise and Communication * Analytical and Rheological Techniques: * Utilize advanced analytical tools (e.g., NMR spectroscopy, X-ray diffraction, DSC, imaging technologies) and rheological techniques (e.g., rotational rheometers, capillary rheometers) to characterize and optimize carbohydrate systems. * Investigate molecular interactions, structural properties, and functional performance to enhance product development. * Technical Communication: * Deliver clear, impactful technical materials, presentations, and reports to communicate findings and opportunities to internal stakeholders and external customers. * Represent the organization at conferences, trade associations, and academic collaborations, showcasing technical leadership and expertise. Safety and Compliance * Safety Leadership: * Ensure safe working practices in research labs, pilot plants, and manufacturing facilities, meeting or exceeding safety standards. * Develop and enforce safety protocols for hazardous material handling and equipment operation. Qualifications Education: * PhD or Chemical Engineering, Materials Engineering, Organic Chemistry, or a related field. Experience: * Minimum of 10 years of industrial experience in biobased materials engineering and sustainability, with expertise in packaging, construction, fermentation, plant care, home, and personal care industries. * Proven leadership experience managing multidisciplinary teams and large-scale projects. * Extensive knowledge of carbohydrate materials, including starch, cellulose, and other natural products, with hands-on experience in extrusion processes and process engineering. Technical Skills: * Expertise in process design, optimization, and scale-up for carbohydrate-based systems. * Proficiency with advanced analytical instrumentation and characterization techniques for carbohydrate materials. * Strong knowledge of statistical software, DOE methodologies, and Microsoft Office Suite. Soft Skills: * Exceptional leadership, communication, and project management abilities. * Strategic thinker with a proactive approach to identifying and driving innovation. * Ability to collaborate across functions and build strong relationships with external partners. Travel: * Willingness to travel up to 20% to support research, collaboration, and customer engagement efforts. What We Offer * Opportunity to lead engineering and scientific innovation, driving transformative solutions in carbohydrate materials. * Recognition as a high-level scientific and engineering resource within the organization and industry. * A collaborative environment that fosters creativity, innovation, and professional growth. Join us in this exciting role where you'll combine scientific discovery with engineering excellence to shape the future of carbohydrate materials. Lead the charge in innovation, sustainability, and commercial success-apply today! Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings. ADM requires the successful completion of a background check. REF:102923BR

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Earth Systems Science Division, part of the Energy and Environment Directorate, provides leadership and solutions that advance Earth system opportunities for energy systems and national security. We are a multidisciplinary division connected by a shared commitment to innovate and collaborate towards solving complex problems in the dynamic Earth system. **Responsibilities** PNNL's Environmental Subsurface Science Group is seeking a mid-level scientist or engineer with broad experience in geophysics, reservoir modeling, geologic carbon storage, geothermal energy production, and environmental remediation. The position requires the ability to lead and support the development of simulation capabilities and the application of advanced simulation tools to diverse problems. The candidate will lead and work collaboratively with teams in multiple disciplines, including geophysics, geochemistry, and environmental engineering. The Team studies the geosphere, hydrosphere, biosphere, atmosphere, and/or interactions of these systems with human activities. It uses scientific principles, instrument measurements, computer models, data analysis, and knowledge of policy and regulatory drivers to study the environment and/or develop solutions to environmental problems. Leverages knowledge and tools from fields such as ecology, biology, physics, chemistry, geochemistry, soil science, geology, hydrology, atmospheric science, economics, and/or integrated assessment. Studies the geosphere, hydrosphere, biosphere, atmosphere, and/or interactions of these systems with human activities. Uses scientific principles, instrument measurements, computer models, data analysis, and knowledge of policy and regulatory drivers to study the environment and/or develop solutions to environmental problems. Leverages knowledge and tools from fields such as ecology, biology, physics, chemistry, geochemistry, soil science, geology, hydrology, atmospheric science, economics, and/or integrated assessment. **Qualifications** Minimum Qualifications: + BS/BA and 9+ years of relevant experience -OR- + MS/MA and 7+ years of relevant experience -OR- + PhD with 5+ year of relevant experience Preferred Qualifications: + Experience leading technical teams. + Experience modeling carbon sequestration, enhanced geothermal systems, gas hydrates, and contaminant fate andtransport. + Experience working with reactive transport software. + Experience developing simulation software for high performance computers. + Proficiency with Python. + Experience with analysis and visualization tools (e.g., Matplotlib, Paraview). + Experience with open source software development, distributed version control, and continuous integration. + Candidates should have a demonstrated commitment to data quality and accuracy, strong written and oralcommunication skills as evidenced by scientific publications and conference presentations, and be able to workindependently and in a team setting. + Candidates should have experience with business development, such as proposal development and clientengagement. + Candidates should have experience mentoring students, interns, or junior staff. + Candidates should have experience leading small project tasks. **Hazardous Working Conditions/Environment** Not Applicable **Additional Information** This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements: + U.S. Citizenship + Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. + Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. **Testing Designated Position** This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $169,600.00/Yr. **Maximum Salary** USD $268,100.00/Yr.

Company: Dedham Group Employment Type: Full Time **Description** **About The Dedham Group:** We set out to develop a health care innovation organization that could separate the background "noise" from what warrants investment in our highly complex, rapidly evolving marketplace lacking transparency to enable our pharmaceutical and biotech clients to make better decisions and flourish. Today, ten years later, we are the preeminent U.S. market access oncology and specialty strategy partner, grounded in the structure and logic of the strategy consulting discipline, bolstered by our robust data set continuously enriched via our unequaled specialty access panel of the most highly influential access and value influencers in the U.S. With a unique staffing model of highly structured and collaborative creative thinkers akin to an oncology and specialty think tank, we have increasingly come to be viewed as an influencer in our industry. At the interface of clinical, economic, and operational evolving needs, the Dedham Group has become the go-to resource for addressing the challenges faced by the world's leading life sciences organizations. Now, The Dedham Group is proud to be a part of Norstella (*************************** , an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, The Dedham Group plays a key role helping commercial teams navigate the oncology space to get much-needed drugs to market-and helping clients connect the dots from pipeline to patient. **About the Consultant role:** As a Consultant, you will works closely within teams and clients to lead primary and secondary research, develop logical and insightful qualitative and quantitative analyses, and create innovative and effective recommendations. **To succeed in this role, you will:** + Contribute to day-to-day management of 3+ projects, guide overall strategic direction and delegation of tasks to team members, parachute where needed across workstreams to streamline execution + Be responsible for timely and successful project execution + Provide direct feedback to junior staff to support career development goals + Support client relationships, fulfill client requests and begin to forecast future project needs + Aid in developing project proposals and capabilities decks to support overall firm development + Communicate clearly with senior project managers on project responsibilities, progress, alignment to timeline, and bandwidth of teams + Other duties as assigned **Requirements** + Bachelor's or advanced degree with a life science focus + 4+ years life sciences Market Access consulting + Superior skills in using MS Office (particularly PowerPoint and Excel) + Excellent oral and written communication skills + Strong collaboration skills; must be a team player + Strong attention to detail + Expert knowledge of provider and payer dynamics within healthcare, specifically within oncology, cellular therapy / CAR-T, immunology, neurology / CNS, and/or other rare diseases / specialty therapeutics **The Guiding Principles For Success At Norstella** **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. **Benefits** + Medical and prescription drug benefits + Health savings accounts or flexible spending accounts + Dental plans and vision benefits + Basic life and AD&D Benefits + 401k retirement plan + Short- and Long-Term Disability + Paid parental leave + Paid time off **_Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa._** _The expected base salary for this position ranges from $150,000 to $175,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus._ _All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address:_ _[email protected]_ _._ _The Dedham Group is an equal opportunity employer. All Job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. **Job Overview** We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives. **Job Duties and Responsibilities** + Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data + Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications + Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data + Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards + Present data and insights in internal meetings and cross-functional program team discussions **Key Core Competencies** + Scientific curiosity with ability to generate and test hypotheses that inform drug development + Excellent problem-solving and critical-thinking skills to interpret complex data + Strong organizational skills and attention to detail in managing studies, data, and documentation + Strong project management and vendor oversight skills + Adaptability and resilience in a fast-paced, evolving research environment **Education and Experience** + PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology) + 1-3 years of postdoctoral or industry research experience + Familiarity with oncology research preferred + Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. **Confidential Data** : All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. **Compliance** : Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. **Mental/Physical Requirements** : Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. **Sumitomo Pharma America (SMPA)** **is an Equal Employment Opportunity (EEO) employer** Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. Sumitomo Pharma America (SMPA) endeavors to make its application process accessible to all. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact SMPA at ********************************************** This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. At Sumitomo Pharma America, our work is guided by the Sumitomo Pharma mission, vision and values, which tie closely to our company's cultural pillars. **Our** **Mission** _To broadly contribute to society through value creation based on innovative research and development activities for the betterment of healthcare and fuller lives of people_ _worldwide_ **Our** **Vision** _For Longer and Healthier Lives, we unlock the future with cutting edge technology and_ _ideas_

The Theory and Modeling Group at the Center for Nanoscale Materials (CNM) seeks an outstanding Assistant Scientist to lead and support frontier research at the intersection of AI/ML, data infrastructure, autonomous systems, and materials science. You will develop and apply advanced data-driven methodologies to accelerate discovery in materials design, characterization, and synthesis. The role combines self-directed and collaborative research aligned with CNM strategic themes, alongside scientific support for CNM users. CNM is a DOE Office of Science user facility that provides researchers worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology. Learn more about CNM themes at: ******************* Focus Areas (expertise in one or more is highly desirable) + AI/ML for predictive modeling and inverse design of nanomaterials + Autonomous laboratories for materials synthesis and characterization + Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery + Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research + Digital twins and simulation-augmented AI tools + Interfacing AI tools with experimental facilities at CNM and Argonne Key Responsibilities Research leadership (50%) + Develop and lead an independent and collaborative research program in computational materials science aligned with CNM strategic themes and the DOE mission + Publish in refereed journals and present at conferences, symposia, and seminars + Contribute to proposal development and assist with execution and reporting for CNM, DOE, and other sponsors User program engagement (50%) + Establish and maintain a vibrant, productive collaboration program with CNM users + Provide scientific and technical support for user computational projects to ensure successful execution and growth of user-led research Computational and HPC support + Support end-users with HPC operations and maintenance issues, job optimization and scheduling, workflow understanding, and software installation Collaboration and mentorship + Collaborate with internal and external researchers to drive innovation in nanoscience and nanotechnology + Contribute to CNM's strategic scientific directions through pioneering R&D. + Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff Professional growth and operations + Work toward promotion from Assistant Scientist to Scientist + Manage vendor relationships as needed (hardware, cloud, managed support services) Safety, security, and stewardship + Execute all activities in compliance with Argonne's ES&H policies, Safeguards and Security policies, work rules, and safe practices **Position Requirements** + Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, or a related field + Proven research track record in computational materials science and AI/ML, with applications in areas such as quantum information science, energy capture/storage/conversion, or microelectronics + Demonstrated ability to formulate scientific problems in the design and theory of nanoscale systems relevant to the DOE portfolio + Considerable skill in data management and high-performance computing, including workflow design and optimization + Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals + Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork How to Apply Submit the following materials via the Argonne National Laboratory careers portal: + Cover letter detailing how your experience and expertise align with and will contribute to this position + Curriculum vitae with publication list and contact information for three professional references + 2-page research statement outlining proposed research directions + 1-page statement describing your approach to engaging and growing the CNM scientific user program RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent **Job Family** Research Development (RD) **Job Profile** Materials/Ceramics/Metallurgical 2 **Worker Type** Regular **Time Type** Full time The expected hiring range for this position is $90,063.00 - $143,010.27. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

We are looking to fill a **Scientist III - (HPLC) Chromatography - Separations & Molecular Biology - Immunoassay Experience** position working as **a full-time employee of Parexel FSP on long-term assignment** onsite at one of our clients located in **Rahway, NJ.** This position offers full benefits, sick time, 401K, paid holidays, and paid time off. **This position does not offer any sponsorship.** **Description** Support of routine bioanalytical testing of samples from cell-line development, in-process, process development/characterization, forced degradation, release & stability, and pre-formulation. Other potential opportunities include method development/optimization, workflow optimization, and template development. **Responsibilities** + Support of high-throughput, pre-formulation, pre-qualification, robustness, or admixture testing + Results processing and documentation by following appropriate methods / protocols / procedures + Sample management and monitoring of controlled temperature units. + Following all appropriate laboratory safety and hygiene procedures **Qualifications** + BA/BS (3-5 yrs.) of relevant experience in analytical chemistry or biologics testing lab + MS (1-2 yrs.) of relevant experience in analytical chemistry or biologics testing lab **Required Skills and Experience** + Must have separations experience for large molecules or plate-based assay experience. + Experience in analyzing biologics including monoclonal antibodies and/or other therapeutic proteins using at least one of the following techniques: + Liquid Chromatography (HPLC / UPLC) + Protein A Titer, Size Exclusion Chromatography (SEC), Ion Exchange Chromatography (IEX, AEX, CEX), Reverse Phase (RP), or Hydrophobic interaction chromatography (HIC) + Electrophoretic methods such as capillary electrophoresis sodium dodecyl sulfate (CE-SDS) and/or capillary isoelectric focusing (cIEF) + ELISA (HCP, proA) and binding potency assay + qPCR and basic molecular biology techniques (gel electrophoresis, etc.) + High-throughput liquid handling system, e.g., Tecan, Bravo, etc. + Basic instrumentation troubleshooting + **Ability and willingness to train in molecular biology and immunoassay testing** + **Familiarity with Microsoft Office Applications (Outlook, Excel, Word, PowerPoint, OneNote, Teams, etc.)** **Desired Skills and Experience** + Familiarity with compendial testing such as UV 280, pH, and Physical Observations + **Ability to follow complicated scientific protocols / procedures** + Making accurate reagent preparations (dilutions / solutions / buffers / mobile phases) + Good documentation practices & utilization in electronic lab notebooks (ELN) + Analytical software such as Empower. + Knowledge of Laboratory Information Management Systems (LIMS) + Sample submission & sample management + Monitoring of controlled temperature units + Experience with BSL2 (Biosafety Level 2) **About Parexel** Parexel FSP includes the CMC Operations group. We provide pharmaceutical and biopharmaceutical companies with qualified and talented technical professionals to support the development and delivery of new therapies. For results-driven and caring individuals who want to make a meaningful difference in the world, Parexel is trusted by life sciences companies to meet their long-term staffing needs for scientists and engineers and related professionals in discovery and development of novel therapies, keeping patients at the center of everything we do, and where an inclusive community helps you be your best, transforming any career into a life-changing achievement. **Come join us!** \#LI-DK1 EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**Who Are You?** An experienced Pharmacometrician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead quantitative pharmacology activities for clinical studies. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same. **Sponsor-dedicated:** Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Pharmacometrician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. **Position Overview:** Our Principal Pharmacometricians provide advanced analytical and development support and influence for the associated client's trials providing expertise into processes, regulatory strategy, modeling, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, produce PK/PD modeling, and align study team on strategy. **As a Principal Pharmacometrician, your responsibilities will include:** + Contribute to Pop-PK and PK/PD modeling, and non-compartmental analyses + Contribute to study design, including Bayesian/adaptive design methodologies + Create specifications and perform analyses such as time-to-event and longitudinal analysis. + Review and contribute to study reports and quantitative clinical pharmacology l sections of regulatory submission dossiers, lead electronic submissions of clinical data to regulatory authorities, and participate to meetings with regulatory authorities. + Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. **Required** + Experience in Pop-PK and PK/PD modelling, and non-compartmental analyses + Understanding of the broader biopharmaceutical R&D process. + Excellent organization and multi-tasking capabilities, strong problem-solving and analytical skills. + Experienced in Phoenix WinNonLin and NLME, and R. Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a university-level course, research project, internship, or thesis in the following: 14. 1. Algorithms, data structures, or systems software 15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and 19. 6. Java, C++, Perl, PHP, or Python **Public Compensation:** $225,569/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As part of **OCI Applied Science group** , our objective is to create innovations that power internal and external solutions. The Multimodal AI team is working on developing cutting-edge AI solutions using Oracle's industry leading GPU-based AI clusters to disrupt industry verticals and push the state-of-the-art in Multimodal AI research. As a Senior Principal Applied Scientist in the Applied Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers. **Responsibilities** **Responsibilities:** + Research and Development: Conduct in-depth research on image and video generation techniques, including diffusion models, flow-based models, generative adversarial networks (GANs), and other emerging approaches. + Model Development: Design, develop, and train state-of-the-art image generation models that meet the highest quality standards. + Team Leadership: Build and mentor a high-performing team of scientists and engineers. + Collaboration: Work closely with cross-functional teams to integrate video generation capabilities into various applications and products. + Innovation: Identify new opportunities for image generation and explore emerging technologies. + Stay Updated: Maintain a deep understanding of industry trends and advancements in video generation. **Qualifications and Experience:** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 12+ years relevant experience + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Extensive experience in image generation, computer vision, and deep learning + Proven track record of leading research and development projects + Strong understanding of machine learning algorithms and architectures + Excellent problem-solving and analytical skills + Strong leadership and communication abilities If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Are you ready to lead the next wave of innovation in carbohydrate materials and engineering? We are seeking an exceptional Principal Scientist to drive cutting-edge research, development, and engineering efforts in carbohydrate-based materials. This role combines scientific expertise, engineering acumen, and leadership to deliver transformative solutions across industries such as food, construction, fermentation, plant care, packaging, papers, and personal care. Position Overview As a Principal Scientist specializing in carbohydrate materials, you will lead multidisciplinary teams to design, develop, and optimize advanced carbohydrate-based systems and processes. You will play a critical role in bridging science and engineering, applying your deep expertise to create high-value materials and ingredients that drive commercial success. This role goes beyond research-it demands a visionary leader who can integrate engineering principles with scientific discovery to develop scalable processes and systems. You will collaborate across functions, manage complex projects, and mentor teams to ensure delivery of innovative solutions. Your contributions will position you as a thought leader within the organization and the broader scientific and engineering communities. Key Responsibilities Process Design and Optimization: Lead the design, development, and optimization of scalable manufacturing processes for carbohydrate-based materials using advanced engineering principles. Oversee process development efforts, including extrusion, chemical reactor systems, mixing technologies, and pilot-scale production. Develop and implement strategies to improve efficiency, reduce waste, and enhance sustainability in carbohydrate material production. Technology Integration: Evaluate and implement emerging technologies, including advanced manufacturing techniques and automation systems, to drive innovation in carbohydrate materials engineering. Collaborate with operations teams to integrate new processes into existing manufacturing systems while ensuring compatibility, scalability, and cost-effectiveness. Equipment and Pilot Plant Management: Provide technical leadership in the operation, maintenance, and optimization of pilot and lab-scale equipment. Design and execute experimental plans to test and refine equipment performance for carbohydrate-based systems. Leadership and Project Management Team Leadership: Lead cross-functional teams, including scientists, engineers, and technicians, to drive complex R&D and engineering projects from concept to commercialization. Mentor and develop team members, fostering a culture of innovation, collaboration, and technical excellence. Strategic Planning: Develop and execute strategic plans for carbohydrate materials R&D, aligning with business goals and market trends. Identify opportunities for growth and innovation, proactively proposing new projects and initiatives that advance organizational objectives. Project Management: Manage large-scale, multidisciplinary projects using gated project management methodologies, ensuring on-time delivery of milestones and objectives. Coordinate resources, budgets, and timelines to achieve project success while maintaining alignment with safety and quality standards. Research and Development Material Innovation: Lead efforts to modify and engineer carbohydrate materials for enhanced functionality, performance, and sustainability across diverse applications. Develop advanced carbohydrate-based systems for industries such as packaging, construction, fermentation, plant care, and personal care. Experimental Design and Analysis: Design and execute robust experimental plans to investigate the chemical, physical, and mechanical properties of carbohydrate systems. Apply advanced statistical tools and design of experiments (DOE) software to optimize experimental designs and extract actionable insights. Technical Expertise and Communication Analytical and Rheological Techniques: Utilize advanced analytical tools (e.g., NMR spectroscopy, X-ray diffraction, DSC, imaging technologies) and rheological techniques (e.g., rotational rheometers, capillary rheometers) to characterize and optimize carbohydrate systems. Investigate molecular interactions, structural properties, and functional performance to enhance product development. Technical Communication: Deliver clear, impactful technical materials, presentations, and reports to communicate findings and opportunities to internal stakeholders and external customers. Represent the organization at conferences, trade associations, and academic collaborations, showcasing technical leadership and expertise. Safety and Compliance Safety Leadership: Ensure safe working practices in research labs, pilot plants, and manufacturing facilities, meeting or exceeding safety standards. Develop and enforce safety protocols for hazardous material handling and equipment operation. Qualifications Education: PhD or Chemical Engineering, Materials Engineering, Organic Chemistry, or a related field. Experience: Minimum of 10 years of industrial experience in biobased materials engineering and sustainability, with expertise in packaging, construction, fermentation, plant care, home, and personal care industries. Proven leadership experience managing multidisciplinary teams and large-scale projects. Extensive knowledge of carbohydrate materials, including starch, cellulose, and other natural products, with hands-on experience in extrusion processes and process engineering. Technical Skills: Expertise in process design, optimization, and scale-up for carbohydrate-based systems. Proficiency with advanced analytical instrumentation and characterization techniques for carbohydrate materials. Strong knowledge of statistical software, DOE methodologies, and Microsoft Office Suite. Soft Skills: Exceptional leadership, communication, and project management abilities. Strategic thinker with a proactive approach to identifying and driving innovation. Ability to collaborate across functions and build strong relationships with external partners. Travel: Willingness to travel up to 20% to support research, collaboration, and customer engagement efforts. What We Offer Opportunity to lead engineering and scientific innovation, driving transformative solutions in carbohydrate materials. Recognition as a high-level scientific and engineering resource within the organization and industry. A collaborative environment that fosters creativity, innovation, and professional growth. Join us in this exciting role where you'll combine scientific discovery with engineering excellence to shape the future of carbohydrate materials. Lead the charge in innovation, sustainability, and commercial success-apply today! Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings. ADM requires the successful completion of a background check. REF:102923BR About ADM At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at ************ #IncludingYou Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together. We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law Benefits and Perks Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including: Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable). Financial wellness - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection. Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares). Additional benefits include: Paid time off including paid holidays. Adoption assistance and paid maternity and parental leave. Tuition assistance. Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs. *Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The pay range for this position is expected to be between:

The Low-Energy Nuclear Physics Research Group (LER) of the Physics Division at Argonne National Laboratory seeks outstanding early- or mid-career experimental researchers to an open scientific staff position within the group. LER performs world-leading research in nuclear structure, nuclear astrophysics, fundamental symmetries and nuclear data as well as managing and operating world-class detector systems as part of the ATLAS accelerator facility, a DOE supported national user facility for low-energy nuclear physics research which provides both stable beams and world-unique rare isotope beams from either the nu CARIBU (Californium Rare Ion Breeder Upgrade) facility or from the Argonne In-Flight Radioactive Ion Separator, RAISOR. Additional information on the activities of the Group and the Division can be found at *********************** . The Argonne Physics Division has programs in low energy and medium energy nuclear physics, nuclear theory, nuclear data, accelerator R&D and operates the DOE Office of Nuclear Physics National User Facility, the Argonne Tandem-Linac Accelerator System (ATLAS). **Position Requirements** + The successful candidate should have a Ph.D. in Nuclear Physics or related field and will be expected to develop an independent research program, which utilizes the ATLAS facility and the Facility for Rare Isotope Beams (FRIB). The preference will be given to candidates with experience using and operating large gamma-ray arrays, such as Gammasphere and Ge tracking arrays such as GRETINA and AGATA + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Applicants must submit the following materials: + Curriculum vitae + Research statement outlining interests in relation to the advertised position + Contact information for three references, to be sent to Kaitlin Raimondi at ************* For questions or additional information, please contact Dr. Dariusz Seweryniak at ****************** For full consideration, please apply by September 15, 2025 RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent The expected hiring range for this position is **$90,063 - $143,010 annually RD3: Bachelors and 8+ years of experience, Masters and 5+ years, PhD and 4+ years, or equivalent The expected hiring range for this position is **$109,922 - $175,605 annually **Job Family** Research Development (RD) **Job Profile** Physics 2 **Worker Type** Regular **Time Type** Full time The expected hiring range for this position is $90,063.00 - $143,010.27. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a graduate-level course, research project, or internship involving the following: 14. 1. Solving analytical problems using quantitative approaches 15. 2. Communicating complex research in a clear, precise, and actionable manner 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU 19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models 20. 7. Java, C++, Perl, PHP, or Python **Public Compensation:** $213,512/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As part of **OCI Applied Science group** , our objective is to create innovations that power internal and external solutions. The Multimodal AI team is working on developing cutting-edge AI solutions using Oracle's industry leading GPU-based AI clusters to disrupt industry verticals and push the state-of-the-art in Multimodal AI research. As a Senior Principal Applied Scientist in the Applied Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers. **Responsibilities** **Responsibilities:** + Research and Development: Conduct in-depth research on image generation techniques, including generative adversarial networks (GANs), diffusion models, and other emerging approaches. + Model Development: Design, develop, and train state-of-the-art image generation models that meet the highest quality standards. + Team Leadership: Build and mentor a high-performing team of scientists and engineers. + Collaboration: Work closely with cross-functional teams to integrate video generation capabilities into various applications and products. + Innovation: Identify new opportunities for image generation and explore emerging technologies. + Stay Updated: Maintain a deep understanding of industry trends and advancements in video generation. **Qualifications and Experience:** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 12+ years relevant experience + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Extensive experience in image generation, computer vision, and deep learning + Proven track record of leading research and development projects + Strong understanding of machine learning algorithms and architectures + Excellent problem-solving and analytical skills + Strong leadership and communication abilities If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

In this role, you will focus on the development of both food and non-food applications, including but not limited to advanced materials, construction, fermentation, plant care, packaging and papers, and personal care. You will lead and collaborate with cross-functional teams to spearhead the creation of innovative ingredients and systems, guiding them toward commercial success. Your work will serve as the foundation for enhancing the value of ingredients through a deep understanding of the chemistry, characterization, and functionality of carbohydrate-based and biobased materials. Your expertise will not only benefit our organization but also provide valuable insights to our customers regarding the functionality of carbohydrate-derived products. In this role, you will become a well-connected expert, fostering relationships with suppliers, trade associations, universities, and research facilities. Your objective? To stay ahead of the curve by continuously monitoring new developments, methods, and innovations related to carbohydrates. This position offers the opportunity to be recognized as a high-level scientific resource, utilizing your skills to develop and champion independent ideas that lead to successful project completion. Join us on this exciting journey to shape the future of carbohydrate platforms. Key Responsibilities: Lead and drive research and development (R&D) projects with a focus on carbohydrate and starch science, ensuring alignment with business goals and delivering innovative solutions for new product development and applications. Collaborate cross-functionally with process development, applications, and commercial teams to translate scientific insights into actionable business opportunities. Apply deep expertise in carbohydrate chemistry to identify, design, and develop innovative ingredients and functional solutions that address customer needs and drive future business growth. Design and execute robust experimental plans to investigate the functionality, interactions, and performance of carbohydrate ingredients in diverse applications, including non-food sectors. Perform chemical and physical modifications of carbohydrate raw materials using technologies such as chemical reactors, extruders, and conventional mixing systems. Lead and coordinate cross-disciplinary project teams using gated project management methodologies to ensure timely delivery of milestones and objectives. Utilize advanced statistical tools and design of experiments (DOE) software to optimize experimental designs, analyze data, and derive actionable insights. Employ advanced analytical techniques (e.g., NMR spectroscopy, X-ray diffraction, differential scanning calorimetry (DSC), and imaging technologies) to uncover molecular interactions, structural properties, and functional performance of carbohydrate systems. Utilize advanced rheological techniques and instrumentation (e.g., rheometers, dynamic mechanical analyzers, and viscometers) to investigate flow behavior, viscoelastic properties, and functional performance of carbohydrate systems in complex formulations. Present research findings and project updates through well-organized written reports, technical presentations, and verbal communications to diverse audiences. Ensure safe working practices in research labs, pilot plants, and manufacturing facilities to meet or exceed safety goals. Job Requirements: PhD or Master's degree in Organic Chemistry, Materials Chemistry, Engineering, or a related field. At least 5 years of industrial experience in biobased materials and sustainability, including but not limited to packaging and papers, construction, fermentation, plant care, and home and personal care industries. Industry experience in starch, cellulose, and other natural products. Expertise and hands-on experience with extrusion of natural products, including complex carbohydrates, is strongly desired. Knowledge and experience with a wide range of analytical instrumentation and carbohydrate characterization methods. Understanding of safe hazardous material handling and hazardous communication requirements and procedures. Proficiency in statistical software, Excel, PowerPoint, Outlook, Teams, and other Microsoft Office tools. Ability to travel up to 20%. Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings. ADM requires the successful completion of a background check. REF:102234BR About ADM At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at ************ #IncludingYou Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together. We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law Benefits and Perks Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including: Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable). Financial wellness - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection. Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares). Additional benefits include: Paid time off including paid holidays. Adoption assistance and paid maternity and parental leave. Tuition assistance. Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs. *Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The pay range for this position is expected to be between:

Overview The Argonne Wakefield Accelerator (AWA) Group in the High Energy Physics Division at Argonne National Laboratory seeks a postdoctoral research associate to conduct experimental and computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced-accelerator applications. This work supports AWA's mission to enable next-generation, energy-frontier particle accelerators. The AWA portfolio spans beam-driven wakefield acceleration, generation of bright electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities + Develop and deploy ML algorithms for autonomous operations and optimization of beam dynamics, beginning with macroscopic beam control (e.g., centroid and beam size) and advancing to techniques that enhance high-power, high-frequency radiation generation via wakefield production-a key element of the two-beam acceleration concept + Emphasize Bayesian optimization approaches and integrate these methods into the facility control system + Design, execute, and analyze accelerator experiments; lead experimental campaigns and contribute to operations as needed + Shape independent research directions and collaborate to apply ML tools across AWA experiments + Document methods and results; present findings internally and at external conferences; contribute to publications Collaboration Environment + Work in close coordination with ML development teams across Argonne (including the Advanced Photon Source) and with collaborators at SLAC + Engage with a multi-lab team that includes scientists from Fermilab and Jefferson Lab Application Materials Please submit: + Research statement + Official graduate school transcript + CV (including publications and presentations) Additionally, arrange for three letters of recommendation to be sent to ************* . This position will remain open until filled. **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics-ideally in accelerator science or engineering-or a closely related field + Demonstrated experience or strong interest in artificial intelligence and machine learning, particularly for control applications + Proficiency in Python + Strong analytical and problem-solving skills + Ability to work independently and collaboratively with scientists, engineers, and technicians + Excellent written and verbal communication skills + Collaborative mindset; works effectively with internal and external partners in a transparent, collegial environment + Demonstrated ability to think independently and innovatively to develop creative solutions + Strong organizational skills and attention to detail + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications + Background in beam dynamics and electron sources + Background with wakefield acceleration techniques and diagnostics + Experience with ML frameworks such as PyTorch or TensorFlow + Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib + Strong experimental skills, curiosity, and initiative in research projects **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. **Required Skills:** AI Research Scientist, CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains 10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field 13. Experience holding an industry, faculty, or government researcher position 14. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas 15. Publications in machine learning, artificial intelligence, or related field 16. Programming experience in Python and hands-on experience with frameworks such as PyTorch 17. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 18. Experience taking ideas from research to production. 19. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Senior Principal Applied Scientist to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We're looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You'll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly - we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. **What we offer** + Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. + High visibility to senior leadership, as well as technical leaders and partners. + Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. + Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. + Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. **What You'll Do** + Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. + Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. + Stay up-to-date with the latest advancements in the field of generative AI. + Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. + Work directly with key customers and accompany them on their AI journey - understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. + Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. + Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. + Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. **Responsibilities** **Qualifications:** + PhD, MS in computer science, engineering, mathematics or a field related to deep learning. + Strong knowledge of ML fundamentals - supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. + 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. + Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). + Hands-on experience with distributed training of large language models. + Strong development experience of deep learning modeling in Python. + Familiarity with the latest advancements in LLM and generative AI technologies. + Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. + Passionate about being a builder and working with talented peers to solve hard problems at scale. + Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. **Preferred Skills** + Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories + Industrial experience in system design, software development, and production deployment + Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. + First-hand experience with deep reinforcement learning + First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus + Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus + Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.