Principal research scientist jobs in Fort Smith, AR

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. Specifically, we're looking for a Senior Data Scientist to join our Retail Trading Team. In this role, you'll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you'll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company. *What you'll be doing (ie. job duties):*** * Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing vision, roadmap and priorities * Design and develop pricing models and their evaluation framework to determine optimal pricing strategy * Develop causal models to help isolate the impact of fee changes using experiments and observational data * Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship * Synthesize findings, and recommendations in a clear and concise manner and communicate to senior leadership *What we look for in you (ie. job requirements):* * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. * PhD preferred, or a Master's degree in a field such as Economics or Statistics with 5+ years of relevant experience. * Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling * Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling * Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams * Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders. * Strong attention to detail and ability to work under tight deadlines *Nice to haves:* * Experience applying causal inference techniques outside of controlled experiments * Experience working at or on a Crypto-focused company or at a crypto exchange Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

* 493094 * Langston * VP ACADEMIC AFFAIRS (LU) * Staff Full-time * Opening on: Sep 18 2025 * Dean of School of Agriculture (LU) * PhD Add to favorites Favorited View favorites Campus LANGSTON Contact Name & Email Nika Wilson, ***************************** Work Schedule Monday through Friday, 8:00am-5:00pm with occasional evenings and weekends. Appointment Length Regular Continuous/Until Further Notice Hiring Range $68,000 - $75,000 Commensurate with education and experience Priority Application Date While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration. Special Instructions to Applicants For full consideration, please include a resume, cover letter and three professional recommendation letters. There are two openings for this position. About this Position The mission of the Langston University American Institute for Goat Research (LU-SL/SAAS-AIGR) is to research, develop and transfer enhanced goat and hair sheep production and distribution system technologies, with impacts at local, state, regional, national, and international levels. AIGR strives to fulfill this mission through excellence in a results-driven, highly productive research program; an effective, client-oriented community-based extension approach; and dynamic international activities that stress business development and human capacity building. The AIGR has in recent years expanded its mission to encompass beef Cattle research and Extension. Cutting-edge research focuses on providing new information that are relevant and usable by producers, researchers, and consumers alike. Enhancing information exchange and producer skill levels through hands-on workshops, field days, and web-based information and interactive components is the goal of the extension program. Care for goat producers worldwide is engendered through international activities that encompass research, human capacity building, and village development. These programs, along with knowledgeable and caring personnel and a dedication to the improvement of the lives of goat and hair sheep producers around the world, have made the LU-AIGR a recognized leader in the arena of small ruminant production technologies. The recently enhanced focus on product development and consumption of meat and milk products has added a new dimension to the AIGR. SL/SAAS and AIGR are committed to excellence in research, extension, teaching, and international programs in accordance with the Land Grant mission of Langston University. More information about SL/SAAS, AIGR, and LU are available at **************** and *********************** ESSENTIAL DUTIES & RESPONSIBILITIES: * Support the research, development, and transfer of enhanced goat and hair sheep production and distribution system technologies, as well as initiatives related to beef cattle research and Extension. * Assist with conducting cutting-edge, results-driven research that provides relevant, usable information for producers, researchers, and consumers. * Help implement the community-based extension program, including organizing hands-on workshops, field days, and other outreach activities. * Contribute to web-based information and interactive components that enhance producer skill levels and knowledge exchange. * Support international activities focused on research, human capacity building, and village development initiatives for goat producers worldwide. * Provide administrative, communication, and programmatic support to ensure excellence in research, extension, teaching, and international programs in alignment with Langston University's Land Grant mission. * Perform other duties as needed to further AIGR's commitment to improving the lives of goat, hair sheep, and cattle producers locally and globally. Required Qualifications * Ph.D. in Animal Science or Beef Cattle, Dairy Science. Demonstrated interest in goats, hair sheep, beef cattle with a strong interest in small ruminant extension as well as related research and teaching activities.(degree must be conferred on or before agreed upon start date) * The candidate should have an extensive knowledge of small ruminant production systems as well as beef cattle with demonstrated expertise in management. * The candidate should be able to write producer-oriented manuscripts for the Internet, popular press articles and materials for sheep and goat handbooks. * Capacity to work cooperatively with others is very important. Langston University is an equal opportunity employer. Our hiring decisions are based on merit, qualifications, and institutional needs, ensuring equal opportunities for all individuals, regardless of race, gender, age, disability, or other protected characteristics. We welcome qualified applicants who share our commitment to academic excellence, community engagement, and fostering a vibrant campus culture. For more information, please contact *****************************. You may also be interested in Research Scientist and Extension Specialist, Small Ruminants-2148 Langston VP ACADEMIC AFFAIRS (LU) Animal Technician - 1203 Langston VP ACADEMIC AFFAIRS (LU) Administrative Specialist, SOEBS-1698 Langston VP ACADEMIC AFFAIRS (LU) frame-loader#show Progress clinch:authenticated@document->frame-loader#reload" id="turbo_frame_page_block_5caac52edfe864f0bdb28cf42b068817" src="/pages/ff75e49fb9bc74f54de482be2db3794e/blocks/5caac52edfe864f0bdb28cf42b068817?job_uid=120f42ef6f054416a2b5edef4a7743f7&postfix=2_0">

Specializing in audit, tax, and consulting services, our client serves both privately held and publicly traded companies across diverse industries, including oil and gas, real estate, manufacturing, high technology, and biotechnology. They leverage cutting-edge technology to deliver efficient and cost-effective solutions to clients in over 20 states and 10 countries. About Us: Catalyst Labs is a recruitment agency specializing in tax across North America, Caribbean, UK, Europe and in certain Asian jurisdictions such as HonKong, Singapore, South Korea and Taiwan. We work directly with hiring partners who understand the value of strategic tax leadershipand we take pride in facilitating conversations that are aligned with your expertise and long-term goals. Primary Responsibilities: Prepare federal and state tax filings for corporations, partnerships, and individuals. Complete international informational tax forms. Support tax planning and advisory engagements. Draft tax research memos applying relevant IRC codes and regulations. Assist clients in dealings with the IRS, including during audits at federal and state levels. Review and interpret financial statements Provide monthly bookkeeping and accounting support. Author monthly updates on changes in federal and state tax legislation. Perform additional tasks as needed. Requirements & Qualifications: The ideal candidate will demonstrate: Strong skills in project management, analysis, communication (written and verbal), and collaboration. Adaptability and effectiveness in a fast-paced, team-driven environment. A professional, dependable, and trustworthy demeanor with a team-first mindset. Initiative, strong work ethic, and the ability to manage multiple priorities within deadlines. Commitment to high-quality client service Excellent organizational skills and attention to detail. Candidates should also have: 14 years of relevant experience, preferably in public accounting. Proficiency in Microsoft Office, especially Excel. Sound foundational accounting knowledge. A basic grasp of federal and state income tax rules. Education and Certification: Bachelors degree in Accounting or a related discipline. Advanced degree preferred. Actively pursuing CPA certification, if not already licensed. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

**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 (*************************** . Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle - from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients: - Accelerate the drug development cycle - Assess competition and bring the right drugs to market - Make data driven commercial and financial decisions - Match and recruit patients for clinical trials - Identify and address barriers to therapies Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs. **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.

GovTech is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. "To Mould the Future of Our Nation" At MOE, we believe in enabling every learner to thrive in a rapidly changing world. As part of our mission, we are building internal AI capabilities to improve student learning outcomes, enhance educator productivity, and strengthen our ability to innovate sustainably. Through the responsible and meaningful application of AI, we aim to advance personalised learning, support teaching, and transform educational operations. As a Lead/Principal AI Scientist, you will play a key role in shaping MOE's AI capabilities by leading the evaluation, optimisation, and deployment of AI models for education. You will partner closely with product managers, engineers, curriculum specialists, and policy teams to design solutions that are pedagogically relevant, technically robust, and ready for scale. Our Team You will be part of the Digital Excellence & Products Division (DXD), a cross-functional team driving MOE's digital transformation across platforms, policies, and products. Our Forward-Deployed AI/Data Science Team focuses on rapidly applying AI to real-world problems in education - from personalised learning and curriculum support to school operations. Rather than building foundational models from scratch, we focus on evaluating and optimising best-in-class generative AI and LLM solutions, adapting them for MOE's unique educational needs. You will also contribute to horizontal AI platform capabilities, including benchmarking frameworks, model evaluation tools, and maturity scaling across initiatives. What you will be working on 1.Evaluate and Deploy AI Solutions for Education * Identify and adapt best-in-class AI/LLM technologies for MOE's learning and administrative contexts. * Optimise and fine-tune models to meet contextual performance goals using open-source or commercial offerings. * Work with engineering and product teams to integrate AI into live platforms and workflows used in schools. 2.Strengthen Evaluation and Platform Capabilities * Lead benchmarking and testing of AI models across pedagogical, technical, and ethical dimensions. * Develop internal evaluation frameworks and tooling for scalable model assessment and governance. * Contribute to the development of horizontal AI infrastructure and model maturity strategies across MOE. 3. Identify and Explore New Use Cases * Collaborate with educators, curriculum specialists, and digital teams to explore emerging opportunities for AI. * Prototype and test applications in content generation, adaptive learning, teacher support, and process automation. 4. Contribute to MOE's AI Strategy and Governance * Support horizon scanning and research into AI trends relevant to education. * Participate in discussions on data policy, AI ethics, and capability-building for public sector AI deployment. What we are looking for * Applied AI Leadership - Evaluate and adapt advanced AI technologies for real-world use in education, focusing on optimisation, integration, and performance tuning. * Evaluation and Experimentation - Design tests, analyse results, and iterate based on learning and feedback. * Collaboration and Communication - Work effectively across curriculum, engineering, and policy teams; explain complex concepts to non-technical audiences. * Ethical and Responsible AI - Apply principles of fairness, privacy, and explainability from the outset. * Outcome-Driven Mindset - Prioritise impact on learners and educators, ensuring solutions are practical and scalable. Required Qualifications and Experience * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; Master's or PhD preferred. * At least 5-8 years of experience in AI, machine learning, or applied data science, with a strong track record of delivering real-world solutions. * Proficiency in Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). * Experience in optimising and deploying AI models in production environments. * Familiarity with LLMs, generative AI, or agentic AI systems. * Strong skills in benchmarking, evaluation design, and model performance analysis. * Excellent collaboration, problem-solving, and technical communication skills. * Passion for public good, and interest in education as a domain for positive AI impact. * Experience in the education sector or with education technology will be considered an advantage. * Candidates will be considered for appointment at the Lead or Principal level depending on experience, expertise, and scope of contribution. Join Us If you're excited about helping shape how AI can responsibly transform education and want to build systems that matter - we'd love to hear from you! If you're excited to turn cutting-edge AI into robust, production-ready systems that power the future of education - we'd love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service! GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

The Commercialization Scientist is a liaison between R&D Development Scientists, Quality Control, and Production. This position requires a strong understanding of manufacturing, quality assurance requirements and formulation basics. This person will be responsible for supporting all production departments throughout the commercialization of new products. This requires attending production planning meetings, reviewing schedules to identify new product runs and communicating among departments the requirements to properly commercialized new products. Communication and collaborative work will be vital in this role. ESSENTIAL FUNCTIONS: *Attend production runs throughout commercialization process *Attend production meetings and pre-op meetings *Demonstrates a solid understanding of manufacturing practices and the ability to work in a physical environment for up to 8 hours. *Review daily orders to identify items requiring controls, and record both requests and receipts. *Facilitate communication between departments regarding updates to formulas, manufacturing instructions, and specifications. *Assist with routine specification reviews *Maintain centralized document portal for populating essential information on new products *Assist with inter-departmental training as it relates to production and quality PREFERRED QUALIFICATIONS: *Requires a Bachelor's Degree in Food Science, Biology, Chemistry or other related fields. *Experience within a food-focused industry is preferred. *Proficient in Excel and Word. *Must have good communication and organizational skills. Benefits: Medical Insurance Prescription Drug Plan Dental/Vision Insurance Employee Incentive Plan Flexible Spending Account Cash Accumulation Plan-401K Life/AD&D Insurance Short- Term/Long-Term Disability Vacation Plan Paid Holidays Employee Assistance Program Adoption Assistance Program Tuition Reimbursement Maternity/Paternity Leave Pet Insurance Salary: $73,000-$80,000

Job Description Position Overview: Wheeler Bio is seeking a motivated analytical mind with a passion for problem solving, fast-paced environments, and expertise in protein mass spectrometry to join the analytical team. The Analytical Development Scientist will participate in the development of robust analytical techniques designed for seamless transition to a quality control environment in a manner to emphasize “right first time” and prolonged success. The position will require broad scientific knowledge of bioanalytical techniques that are used to assess and characterize proteins with a focus on monoclonal antibodies. Key Responsibilities: 1. Analytical program management: · Manages client analytical programs with a focus on quality and timeline. · Leads analytical method development, transfer, and qualification of robust, fit-for-purpose methods to support cGMP testing. · Designs, participates in, and reviews required analytical testing according to pre-defined plans and protocols. · Writes and reviews analytical plans, protocols, SOPs, and summary reports. · Leads transfer of analytical methods to Quality Control. · Collaborates with team members and clients to troubleshoot and solve complex problems to meet project needs. 2. Data analysis and communication: · Possesses advanced knowledge of protein biochemistry, analysis, and associated techniques. · Independently uses and applies complex instrumentation, computer systems, and software for data acquisition and analysis. · Applies knowledge and expertise to critically evaluate data, summarize results, and generate thorough reports. · Clearly presents scientific information to senior management, external customers, and/or internal customers · Generates SME content and technical documents (memos, development reports, white papers, presentations etc.). 3. Continuous improvement: · Integrates ongoing quality and operational improvement strategies into workflows. · Actively expands scientific expertise to encompass multiple analytical modalities. · Stays abreast of new technologies in the field. · Leads development of new analytical methods, processes, or technologies. 4. Training and personnel management: · May oversee team of Analytical Development Associates · Trains and provides guidance to team members and peers · As appropriate, leads or participates in training Quality Control, Process Development, and Manufacturing teams performing analytical techniques. 5. Other duties as assigned. Qualifications: Preferred PhD degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with previous industry experience. PhD degree with no prior experience or Master's Degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with at least 2 years of relevant experience will be given consideration. Advanced knowledge of and experience in protein mass spectrometry (e.g. intact mass, peptide mapping) is strongly preferred.

Bioinformatics Scientist - Lessard Lab Department: Genes & Human Disease Location: Oklahoma City, OK START YOUR APPLICATION Overview and Responsibilities The Lessard Lab is seeking a bioinformatics scientist to join our research team. Our research leveraged high-throughput bulk and single cell sequencing technologies to investigate the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögrens disease, systemic lupus erythematosus (SLE), and other autoimmune diseases. Position Responsibilities: Organizing and managing the multi-OMIC data generated by genotyping arrays, protein arrays, and a variety of high-throughput sequencing technologies at both bulk and single cell levels. Analyzing, interpreting, and summarizing the analysis results. Applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, sc FFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc., data generated in the lab. Minimum Qualifications Ph.D., M.D., or Ph.D. /M.D. Strong project management and organizational skills and communication (verbal and written) skills are required. Individuals must be detail-oriented and capable of working both independently and as productive member of our team. Preferred Qualifications Ph.D./M.D. in bioinformatics is preferred. Experience in computer programming with the ability to work in linux, R, Python, C++, etc., and ability to use AI, machine learning, and statistical applications to analyze genetic data. Experience applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, sc FFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc. OMRF Overview Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nations oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimers disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nations leaders in patents per scientist. Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission. OMRF Benefits We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here. OMRF is an Equal Opportunity Employer. START YOUR APPLICATION

Resolian is a Contract Research Organization (CRO) specializing in Drug Metabolism and Pharmacokinetic (DMPK) and bioanalytical services for both small and large molecules. At Resolian, we work to bring together and develop exceptional employees and colleagues who share our passion for generating significant contributions to the world. We take pride in our work and our employees. Resolian strives to help you and your family by offering a comprehensive benefits package. Our total rewards are designed to recognize outstanding performance and meet the diversified needs of all our colleagues - at every stage of their professional and personal lives. We continually strive to maintain the highest standards of professional ethics, scientific excellence, and regulatory compliance. We work to build trusted partnerships with each of our employees. Please consider joining our experienced & knowledgeable staff. Resolian is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status age or disability status. Responsibilites: * Prepare reagents, standards, and control samples * Analyze samples using various techniques specific to department * Independently design and develop methods * Perform method validation or qualification * Operate analytical equipment * Technical resource for troubleshooting activities; assays and equipment * Maintain analytical equipment * Review, evaluate, and interpret data results * Draft and present posters/presentations * Train and mentor lower level Scientists * Collaborate with clients and vendors * Ensure lab area is clean and inspection ready at all times * Remove lab waste * Collaborate across teams, departments, and sites * Evaluate and establish processes to improve quality and efficiency * Record tasks in accordance with Good Documentation Practices (GDP) * Knowledge of regulatory requirements; GLP, GCP, 21CFR Part 11 * Follow applicable SOPs and procedural documents * Other tasks as assigned Education, Experience & Skills Required: * BA/BS or higher with 11-12 years lab experience; all experiences will be evaluated * PhD in relevant field with 3-5 years lab experience * Knowledge and understanding of regulatory requirements; GLP, GCP, 21CFR Part 11, GDP, GMP * Able to independently develop and perform complex lab work * Able to work in a regulated environment * Able to work effectively and contribute within a team * Able to work with computer systems * Able to document clearly * Able to communicate clearly Competencies: * Adaptable * Exactness * Flexibility * Collaborative * Effective Listener and Communicator * Capacity to Master and Influence Others * Results Driven * Creative and Forward Thinking * Initiative * Supportive * Extend Assistance * Strategic Minded * Problem Solving * Innovative * Analytical Thinking * Forward Thinking & client oriented Physical Demands: * Must be able to sit at a desk for up to 6 hours per day * Walking and/or standing as required for the rest of the working day * Must be able to occasionally lift 15 lbs.; this includes lifting boxes, equipment, etc. * Bending or standing as necessary * The length of time of these tasks may vary from day to day and task to task

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 12/31/2025 Type of Position: Workstudy Position: No Job Type:Fixed Duration of Project/Grant (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance Arkansas and build a better world through education, research and outreach by providing transformational opportunities and skills, promoting an inclusive and diverse culture and climate, and nurturing creativity, discovery and the spread of new ideas and innovations. The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life. As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary. Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening. If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Appli cants are required to submit a request for each position of which they have applied. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department:Executive Director I3R Department's Website: Summary of Job Duties:Post-Doctoral Fellow I3R ABOUT THE INSTITUTE FOR INTEGRATIVE & INNOVATIVE RESEARCH (I³R): Established through a transformative gift from the Walton Family Charitable Support Foundation, the University of Arkansas Institute for Integrative and Innovative Research (I3R) pioneers solutions to wicked problems through convergence research across academic, industry, government, and non-profit sectors to make a positive societal impact by creating and deploying innovations at scale. You will have the opportunity to collaborate with purpose-driven coworkers in one of the fastest-growing and most naturally beautiful regions in the U.S. You will join a growing team of visionary researchers and thought leaders dedicated to working with a thriving entrepreneurial ecosystem to deliver innovative solutions. I³R is committed to building a diverse, collaborative, and inclusive team and cultivating a welcoming atmosphere where all opinions are valued, all voices are heard, and ideas become reality. Position description: The Post-Doctoral Fellow will work as a member of I³R's team focused on advancing integrative health by providing healthy food and health technologies in a manner that is secure, resilient, and accessible to all. Competitive applicants will be those who are interested in contributing to this mission and who have expertise and/or seek post-doctoral training in one or more of the following areas: food systems and food technology (including technology for resilient agricultural systems, agricultural economics, cellular agriculture, genomics, and nutrition), health technology (including bioelectronics, wearable devices, medical robotics, internet of medical things, medical imaging, neuroscience, and virtual and augmented reality), cross-cutting technologies to support food and health (including artificial intelligence, data science, cybersecurity, regulatory science), and law, policy, community development and engagement to support integrative health. Of special interest are research and development efforts that focus on the translation of basic research to design and development of products, technologies, and subsequent deployment. The post-doctoral fellow will participate in data collection activities develop tools for efficient and reliable data collection and prepare reports and publications of research results. We are seeking someone with excellent communication skills and the ability to work effectively on interdisciplinary teams in a fast-paced environment, demonstrating the capacity to work independently and collaboratively. A professional demeanor and the ability to establish effective working relationships are crucial in building trust and influence to accomplish work within a setting that includes a diverse group of individuals, groups, policies, and processes. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others. Qualifications: Minimum Qualifications: A PhD or comparable advanced degree in science, engineering, data science, statistics, food science, public policy, education or related fields is required At least two years of relevant experience Preferred Qualifications: Prior experience in technology development or technology assessment Prior experience in collecting, processing, analyzing and interpreting data Ability to plan and anticipate actions according to changing priorities and deadlines Strong communication and interpersonal skills Ability to document activities and develop product documentation as needed Collaborate effectively with a multi-disciplinary team while being able to work independently Share a desire to improve health through convergence research and development Additional Information: Salary Information: Commensurate with education and experience Required Documents to Apply: Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title), Resume Optional Documents: Proof of Veteran Status Recruitment Contact Information: Julia Menke, ***************, Sr. HR Partner All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Special Instructions to Applicants: Pre-employment Screening Requirements: The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds inclusion, opportunity, educational excellence and unparalleled access for all. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity: Frequent Physical Activity: Occasional Physical Activity: Benefits Eligible: Yes

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.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. Specifically, we're looking for a Senior Data Scientist to join our Retail Trading Team. In this role, you'll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you'll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company. *What you'll be doing (ie. job duties):*** * Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing vision, roadmap and priorities * Design and develop pricing models and their evaluation framework to determine optimal pricing strategy * Develop causal models to help isolate the impact of fee changes using experiments and observational data * Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship * Synthesize findings, and recommendations in a clear and concise manner and communicate to senior leadership *What we look for in you (ie. job requirements):* * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. * PhD preferred, or a Master's degree in a field such as Economics or Statistics with 5+ years of relevant experience. * Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling * Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling * Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams * Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders. * Strong attention to detail and ability to work under tight deadlines *Nice to haves:* * Experience applying causal inference techniques outside of controlled experiments * Experience working at or on a Crypto-focused company or at a crypto exchange Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

* 493152 * Langston * VP ACADEMIC AFFAIRS (LU) * Staff Full-time * Opening on: Sep 18 2025 * Dean of School of Agriculture (LU) * PhD Add to favorites Favorited View favorites Campus LANGSTON Contact Name & Email Nika wilson, ***************************** Work Schedule Monday through Friday, 8:00am-5:00pm with occasional evenings and weekends. Appointment Length Regular Continuous/Until Further Notice Hiring Range $66,000 - $69,000 Priority Application Date While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration. Special Instructions to Applicants For full consideration, please include a resume, cover letter and contact information for three professional references. About this Position OVERVIEW: The mission of the Langston University American Institute for Goat Research (LUSAAS-AIGR) is to research, develop and transfer enhanced goat and hair sheep production and distribution system technologies, with impacts at local, state, regional, national, and international levels. AIGR strives to fulfill this mission through excellence in a results-driven, highly productive research program; an effective, client-oriented community-based extension approach; and dynamic international activities that stress business development and human capacity building. Cutting-edge research focuses on providing new information that are relevant and usable by producers, researchers, and consumers alike. Enhancing information exchange and producer skill levels through hands-on workshops, field days, and web-based information and interactive components is the goal of the extension program. Care for goat producers worldwide is engendered through international activities that encompass research, human capacity building, and village development. These programs, along with knowledgeable and caring personnel and a dedication to the improvement of the lives of goat and hair sheep producers around the world, have made the LU-AIGR a recognized leader in the arena of small ruminant production technologies. The recently enhanced focus on product development and consumption of meat and milk products has added a new dimension to the Institute. SL/SAAS and AIGR are committed to excellence in research, extension, teaching, and international programs in accordance with the Land Grant mission of Langston University. More information about SL/SAAS, AIGR, and LU are available at **************** and *********************** ESSENTIAL DUTIES & RESPONSIBLITIES: The successful candidate will be an integral part of the research and extension programs. He/she will serve in the extension and research programs and conduct applied research with primary focus on unique aspects of goats and hair sheep production and management. The candidate will be expected to be in contact with leaders in the small ruminant industry and conduct workshops in various areas of animal production and management. He/she will collaborate with other scientists on research of interest. The candidate is expected to be familiar with parasites of 2 sheep and goats and participate in the American Consortium for Small Ruminant Parasites. Teaching assignments in area of specialization will be available periodically. QUALIFICATIONS AND EXPERIENCE: Ph.D. in Animal Science or Dairy Science. Demonstrated interest in goats and or hair sheep with a strong background in small ruminant extension as well as related research and teaching activities. The candidate should have an extensive knowledge of small ruminant production systems with demonstrated expertise in management. The candidate should be able to write producer-oriented manuscripts for the Internet, popular press articles and materials for sheep and goat handbooks. Capacity to work cooperatively with others is very important. NOTE: Although experience is a desired quality for this position, even more important is an expressed passion for work, ability to learn quickly, optimistic attitude, desire for service to people and communities and the ability to be the ultimate teammate. In this regard, the position offers exceptional growth opportunities for an early to mid-career professional and for collaborative work. SALARY: Competitive and commensurate with qualifications and experience. Required Qualifications * Ph.D. in Animal Science or Dairy Science.(degree must be conferred on or before agreed upon start date) * Demonstrated interest in goats and or hair sheep with a strong background in small ruminant extension as well as related research and teaching activities. * The candidate should have an extensive knowledge of small ruminant production systems with demonstrated expertise in management. * The candidate should be able to write producer-oriented manuscripts for the Internet, popular press articles and materials for sheep and goat handbooks. Capacity to work cooperatively with others is very important. Skills, Proficiencies, and/or Knowledge: * Although experience is a desired quality for this position, even more important is an expressed passion for work, ability to learn quickly, optimistic attitude, desire for service to people and communities and the ability to be the ultimate teammate. In this regard, the position offers exceptional growth opportunities for an early to mid-career professional and for collaborative work. Langston University is an equal opportunity employer. Our hiring decisions are based on merit, qualifications, and institutional needs, ensuring equal opportunities for all individuals, regardless of race, gender, age, disability, or other protected characteristics. We welcome qualified applicants who share our commitment to academic excellence, community engagement, and fostering a vibrant campus culture. For more information, please contact *****************************. You may also be interested in Animal Science Research Scientist and Extension Specialist -2149* Langston VP ACADEMIC AFFAIRS (LU) Animal Technician - 1203 Langston VP ACADEMIC AFFAIRS (LU) Administrative Specialist, SOEBS-1698 Langston VP ACADEMIC AFFAIRS (LU) frame-loader#show Progress clinch:authenticated@document->frame-loader#reload" id="turbo_frame_page_block_5caac52edfe864f0bdb28cf42b068817" src="/pages/ff75e49fb9bc74f54de482be2db3794e/blocks/5caac52edfe864f0bdb28cf42b068817?job_uid=5e492ac7b503c78640f810df1b404044&postfix=2_0">

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

**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 (*************************** . Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle - from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients: - Accelerate the drug development cycle - Assess competition and bring the right drugs to market - Make data driven commercial and financial decisions - Match and recruit patients for clinical trials - Identify and address barriers to therapies Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs. **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.

Overview and Responsibilities The Nath Lab is seeking a highly motivated and self-driven individual to join our team as a Postdoctoral Scientist or Assistant Staff Scientist. Our research focuses on unraveling the genetic mechanisms underlying lupus, a complex autoimmune disease. This position requires expertise in analyzing large-scale genetic and genomic data. The successful candidate will have access to excellent resources to address critical questions in the genetics and genomics of systemic lupus erythematosus (SLE). Building on our lab s success in identifying genes and genetic variants associated with lupus susceptibility through genome-wide association studies (GWAS), we are now investigating the functional effects of these variants. This includes utilizing patient-derived primary immune cells and tissues as well as cell line models. Key Responsibilities Analyze human genetic and genomic data, including GWAS and next-generation sequencing (NGS). Develop and apply computational methods to interpret various types of biological data. Integrate GWAS summary results with other data types (e.g., eQTL, mQTL, and functional genomic annotations) to identify novel therapeutic targets and biomarkers. Contribute to the understanding of the functional consequences of lupus-associated genetic variants. Desired Skills and Experience Proficiency in statistical genetics, bioinformatics, and computational biology. Expertise in analyzing large-scale GWAS datasets, including integration with functional genomic data. Strong background in using genetics/statistics/bioinformatics software for data analysis and interpretation. Minimum Qualifications Applicants should have a Ph.D., M.D., or M.D./Ph.D. (or expect to receive a doctoral degree soon). Collaboration with experimental and clinical scientists to address specific target mechanism questions with genomic insights is essential. This position demands a highly motivated, self-driven individual with excellent teamwork and organizational skills. Creativity, biological insight, and problem-solving skills in computational research. Preferred Qualifications Thorough knowledge of GWAS data analysis methodologies. Experience in investigating human genetic variation and its functional implications. OMRF Overview Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation s oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimer s disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nation s leaders in patents per scientist. Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission. OMRF Benefits We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite caf , free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here. OMRF is an Equal Opportunity Employer.

Resolian is a Contract Research Organization (CRO) specializing in Drug Metabolism and Pharmacokinetic (DMPK) and bioanalytical services for both small and large molecules. At Resolian, we work to bring together and develop exceptional employees and colleagues who share our passion for generating significant contributions to the world. We take pride in our work and our employees. Resolian strives to help you and your family by offering a comprehensive benefits package.Our total rewards are designed to recognize outstanding performance and meet the diversified needs of all our colleagues - at every stage of their professional and personal lives. We continually strive to maintain the highest standards of professional ethics, scientific excellence, and regulatory compliance. We work to build trusted partnerships with each of our employees. Please consider joining our experienced & knowledgeable staff. Resolian is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status. Responsibilities: * Prepare reagents, standards, and control samples * Analyze samples using various techniques specific to department * Assist with method development * Perform method validation or qualification * Operate analytical equipment * Lead troubleshooting activities * Maintain analytical equipment * Ensure lab area is clean and inspection ready at all times * Remove lab waste * Record tasks in accordance with Good Documentation Practices (GDP) * Understand and apply regulatory requirements; GLP, GCP, 21CFR Part 11 * Follow applicable SOPs and procedural documents * Review and evaluate data results * Train lower level Scientists * Other tasks as assigned Education, Experience & Skills Required: * BA/BS or higher with 5-6 years lab experience; all experiences will be evaluated * Able to perform complex lab work * Able to work in a regulated environment * Able to work effectively and contribute within a team * Able to work with computer systems * Able to document clearly; knowledge of and experience in a regulatory environment Competencies: * Adaptable * Exactness * Flexibility * Collaborative, Strategic Minded * Effective Listener and Communicator * Capacity to Master and Influence Others * Results Driven * Creative and Forward Thinking * Initiative * Supportive * Extend Assistance Physical Demands: * Must be able to sit at a desk for up to 6 hours per day * Walking and/or standing as required for the rest of the working day * Must be able to occasionally lift 15 lbs.; this includes lifting boxes, equipment, etc. * Bending or standing as necessary * The length of time of these tasks may vary from day to day and task to task

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.