Principal research scientist jobs in Santa Fe, NM - 87 jobs

**Become a part of our caring community and help us put health first** Humana's Clinical Analytics Team is seeking a Research Scientist 2 (Remote). Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions and behavior health needs. The Clinical Strategy & Analytics team identifies opportunities and builds solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana's enterprise clinical strategies and initiatives. The Research Scientist 2 applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Research Scientist 2 work assignments are varied and frequently require interpretation of data/information and independent judgement. **Responsibilities** As a Research Scientist 2, you will: + Collaborate with analytic and data teams to set objectives, approaches, and work plans + Develop and implement study protocols, including the ability to design observational studies, randomized controlled trials, and cohort studies + Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actionable insights + Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes + Translates analytic results into key takeaways and communicate to business partners + Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas + Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance **Use your skills to make an impact** **Required Qualifications** + Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, and/or related fields + Demonstrated strong analytical thinking and problem-solving skills + Demonstrated strong interest in healthcare and desire to make a positive impact on population health + Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team + 2+ years of experience in applying mathematics, statistics, epidemiologic principals to transform high volumes of complex data into actionable insights + Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways + Experience manipulating and analyzing data using SAS, Python, R, or similar software **Preferred Qualifications** + Healthcare or managed care working experience + Experience working with medical, pharmacy, lab claims + Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable + Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques + Experience using Pyspark, DataBricks, and/or Microsoft Azure Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $78,400 - $107,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 02-05-2026 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. 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: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + 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@meta.com.

**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. 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.

PXL is hiring a Clinical Scientist! **Job Purpose:** The Clinical Scientist (CS) assists the CS Protocol Lead and study team with the clinical/scientific conduct of clinical studies (e.g., adjudication support, medical monitoring, imaging data reconciliation preparation of meeting materials, protocol deviation management). **Key Accountabilities** May include but not limited to the following: Clinical Trial Operational Delivery - May support a single study or multiple studies - May lead a study with limited scope (e.g., Survival Follow-up) - Liaises with cross-functional lines as appropriate - May interact with internal and external stakeholders (study sites, committees, etc.) in support of clinical study objectives Compliance with Parexel Standards - Complies with required training curriculum - Completes timesheets accurately as required - Submits expense reports as required - Updates CV as required - Maintains a working knowledge of and complies with Parexel processes, ICH-GCPs and other applicable requirements Skills: - Demonstrated oral and written communication skills - MS Office Suite Experience Required- including Word, Excel, and Power Point - Proficient in written and spoken English - Proficient in local language (as applicable) - Willingness to travel as required for key company meetings Knowledge and Experience: - Pharmaceutical experience beneficial but not required - Therapeutic Area (TA) specific experience beneficial - 2 years medical monitoring experience preferred Education: - Bachelors/Masters/PhD in Life Sciences with 2+ years relevant career experience - If no degree in Life Sciences, must have significant experience in clinical development (>5 years) \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**Anywhere** **Type:** Permanent **Category:** Clinical Ops **Industry:** Life Sciences **Workplace Type:** Remote **Reference ID:** JN -112025-104407 **Shortcut:** ********************************** + Description + Recommended Jobs **Description:** _Remote_ Our client is a PE-backed medical device organization advancing next-generation technologies in atrial fibrillation and cardiac ablation. As the team prepares for two global Class III IDE studies, the Clinical Development and Science function is expanding to support protocol development, safety oversight, and scientific leadership. The role provides exposure to electrophysiology and Pulse Field Ablation, contributing to the scientific, clinical, and strategic elements of cardiac ablation innovation. _This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis._ Salary: $130,000 - $150,000/ yr. w2 **Responsibilities:** **Responsibilities** + Lead development of clinical study protocols, case report forms, and associated study documents. + Support clinical safety oversight, including adverse event review, vigilance, and coordination with the Clinical Events Committee. + Contribute scientific input into study design, endpoints, and overall clinical strategy. + Review and interpret clinical data to support study reports, publications, and regulatory submissions. + Collaborate closely with Clinical Operations, Field Clinical, Regulatory, and Quality teams. + Participate in discussions with key opinion leaders, investigator meetings, and internal scientific reviews. + Ensure scientific consistency across programs and alignment with regulatory and clinical goals. + Support the development of data collection tools and ensure clarity, accuracy, and completeness. + Assist with medical writing elements related to clinical reports and study documentation. **Experience Requirements:** **Experience Requirements** + Electrophysiology and Pulse Field Ablation experience required. + Background supporting clinical studies in industry or academia. + Strong understanding of clinical research methods and safety reporting. + Ability to evaluate and interpret clinical data. + Strong scientific writing skills and attention to detail. + Ability to collaborate effectively across Clinical Development, Operations, and Regulatory functions. + Excellent communication and analytical capabilities. + Prior experience as a Clinical Scientist in medical devices preferred. + Experience with Class III devices or IDE studies preferred. + Experience contributing to regulatory submissions or interacting with health authorities preferred. + Experience working with electrophysiologists, key opinion leaders, or clinical event committees preferred. **Education Requirements:** **Education Requirements** + MS, PhD, or MD. **_Recruitment Transparency Notice_** **_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_** **_noreply@eliassen.com_** **_, ************* inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._** _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._ _W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact_ _********************_ _._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

**About ETS:** ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL , TOEIC , GRE and Praxis tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. The Associate R&D Data Scientist contributes to the planning, development, and execution of data science analyses for research and development projects within the ETS Research Institute. This role focuses on applying advanced data science, statistics, machine learning, and AI to make inferences and/or predictions from data. The position requires expertise in modern frameworks and cloud computing environments to support innovative research in educational measurement and assessment. **Primary Responsibilities** _Technical Responsibilties:_ Data Management and Analysis + Collect, preprocess, and manage structured and unstructured data from diverse sources, ensuring data quality and integrity. + Perform exploratory data analysis to identify trends, patterns, and actionable insights. Model Development and Evaluation + Design, implement, and validate predictive models and machine-learning algorithms using frameworks such as PyTorch/TensorFlow, and scikit-learn. + Experiment with large language models and generative AI techniques (e.g., working with large language model APIs, prompt engineering) to support innovative research. Deployment and Scalability + Develop and maintain pipelines for model deployment in cloud computing environments (e.g., AWS, Azure) to ensure scalability and reproducibility. _Research and Collaboration_ + Collaborate with scientists and cross-functional research teams to align data science efforts with program objectives + Contribute to technical reports, presentations, and publications that disseminate research findings. + Communicate complex technical concepts clearly to both technical and non-technical stakeholders. \#LI-MM1 \#Remote + Demonstrable proficiency and experience in Python and/or R for data analysis and modeling. + Hands-on experience with PyTorch/TensorFlow, Scikit-learn, and other machine learning frameworks. + Familiarity with generative AI methods and their practical applications. + Strong understanding of statistical methods, experimental design, and data visualization. + Ability to work in cloud computing environments (e.g., AWS) for model deployment and data processing. + Excellent problem-solving skills and adaptability to evolving research priorities. + Effective written and verbal communication skills for collaborative research environments. + Exceptional attention to detail, ensuring accuracy and reliability in data analysis, modeling, and reporting. **Education:** Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field; or equivalent combination of education and experience. **ETS is mission driven and action oriented** + We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning. + We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth! + As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you! + The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate. **ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.**

**What You Will Do** **This position will be filled at either the Scientist 3 or Scientist 4 level, depending on the skills and achievements of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.** **Scientist 3 $125,200 - $211,300** The Plasma Theory and Applications Group (XCP-6) at the Los Alamos National Laboratory is looking for an experienced Scientist in High Energy Density Physics. You would be expected to contribute to teams that apply and develop theoretical and computational physics tools (including those that are AI/ML-based) to model plasmas. Areas of particular interest include high energy density physics; turbulence and/or perturbed plasma flows; and algorithm and model development for plasmas and high energy density science. You will also be expected to mentor and guide the work of early-career scientists and postdoctoral fellows. This research may lead to the design, fielding, and analysis of ICF/HED experiments on the Omega lasers at the Laboratory for Laser Energetics (LLE), the National Ignition Facility (NIF), or on the Z pulsed-power facility. Your work would be expected to lead to peer-reviewed publications, as well as to support the national-security programs and mission of the Laboratory. **Scientist 4 $150,300 - $260,800** In addition to what was outlined at the Scientist 3 level, Scientist 4 candidates are expected to develop and execute on a scientific vision by leading teams related to the areas listed above. It is also expected that scientists at this level will play an important role in recruiting and present the research of the team to diverse audiences. **What You Need** **Minimum Job Requirements:** **Technical Background** A strong background in theoretical and/or computational plasma physics with demonstrated ability to apply advanced physics principles, mathematical methods, and computational tools to complex plasma science problems. **Simulations/Experiments** Thorough experience in target design and demonstrated ability to collaborate within teams performing experiments. Experience in analysis of experimental data and interpretation of experiments. Alternately experience in plasma physics related model development for improving experimental design. **Journals/Conferences** A record of published research in peer-reviewed journals or conference proceedings. Demonstrated ability to communicate research to an interdisciplinary audience orally and in writing. **Achievement** A record of achievement in any of the following: thermonuclear burn physics, MHD, plasma physics (theory, simulation, code development), plasma transport and turbulence, or kinetic plasma effects. **Mentoring** Proven ability to mentor and guide early-career scientists, graduate students, and postdoctoral fellows, including providing regular feedback, supporting professional development, and fostering a collaborative research environment. Demonstrated track record of successfully developing others' scientific skills, independence, and career progression. **Additional Job Requirements for Scientist 4 position:** In addition to the requirements outlined above, qualification at the Scientist 4 level requires: Advanced Experience in target design and demonstrated ability to lead and guide cross-disciplinary teams. Advanced Experience in analysis of experimental data and interpretation of experiments, across a diverse set of experiments. **Education/Experience at Scientist 3 level:** Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation. PhD in physics, engineering, mathematics, or a related field. **Education/Experience at Scientist 4 level:** Position requires a Master's degree in a STEM field from an accredited college or university and 12 years of relevant experience or an equivalent combination of education and experience directly related to the occupation. **Desired Qualifications:** + PhD in physics, engineering, mathematics, or a related field + Practical experience in the usage of AI/ML tools for experimental design and analysis. Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year. **Note to Applicants:** Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. Applicants must apply online. The application package should include a CV and a cover letter that addresses each of the required and any of the desired job requirements. Your letter and CV should provide contact information for 3 or 4 references who are familiar with your qualifications as related to this job. Applicants with questions may contact Radha Bahukutumbi, **************. Anyone who meets the required qualifications is encouraged to apply. This position qualifies for benefits including vacation, medical, sick time, parental leave, and retirement. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: § PPO or High Deductible medical insurance with the same large nationwide network § Dental and vision insurance § Free basic life and disability insurance § Paid childbirth and parental leave § Award-winning 401(k) (6% matching plus 3.5% annually) § Learning opportunities and tuition assistance § Flexible schedules and time off (PTO and holidays) § Onsite gyms and wellness programs § Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. **Clearance:** Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad. *Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 (********************************************************************************************* for additional information. **New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. **Regular position:** Term status Laboratory employees applying for regular-status positions are converted to regular status. **Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. **Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call ************** opt. 3.

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

**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.

**What does Clinical Affairs contribute to Cardinal Health** The Clinical Affairs function manages the clinical education, medical writing and communications, research, health care economics and patient safety while ensuring compliance with applicable regulatory and governing requirements for Cardinal Health products and services. Medical Writing is a specialized role that creates clear, accurate, and compliant documents to communicate complex clinical and scientific data. It supports regulatory submissions, clinical research, and scientific communications by interpreting data and producing protocols, reports, regulatory dossiers, presentations, congress abstracts, and peer-reviewed publications, all in alignment with industry and regulatory standards. **Responsibilities:** The Senior Medical Writer will plan and develop high quality clinical documents to support Cardinal Health devices. Primary responsibilities include preparing Clinical Evaluation Reports (CERs), Post Market Plans & Reports (PMS and PMCF) as required by EU regulations. Additional responsibilities include providing input for product development and post-market sustaining core teams. Additional responsibilities may be assigned. The Senior Medical Writer has medical writing and project management experience, a thorough understanding of research methodology and the ability to develop high-quality clinical documents. Extensive knowledge of the European medical device guidelines/regulations such as MEDDEV and MDD/MDR is required, as well as other global requirements for clinical evaluation and PMS/PMCF. The Senior Medical Writer has the ability to lead cross-functional project teams. **Qualifications** + 8-12 years of experience, preferred + Bachelors in life science discipline; master's degree or PhD preferred or equivalent work experience. **Additional skills:** + Proven experience performing literature reviews, analyzing data and communicating outputs. + Ability to provide thorough peer reviews of team members' documents for completeness and correctness of data analysis & regulatory requirements. + Experience working within a medical device or pharmaceutical organization in a Research & Development, Scientific and Medical Affairs, Clinical or Regulatory role. + Experience writing scientific documents for regulatory or journal submissions + Experience presenting scientific/clinical evidence in a written and oral manner to cross-functional teams. + Demonstrated ability to build positive constructive relationships with cross-functional team members + Demonstrated high level of personal integrity, emotional intelligence, flexibility + Extensive knowledge of MDD, MDR and MEDDEV requirements, along with other applicable global requirements for clinical evaluation and PMS/PMCF + Experience creating and performing literature searches in Embase, PubMed and Google Scholar + Excellent working knowledge of Microsoft Word, Excel, PowerPoint. + Proficient in using EndNote or other reference manager software + Strong data extraction and analysis skills + Proactive with a sense of urgency in managing job responsibilities + Recommends new practices, processes, metrics or models **What is expected of you and others at this level** + Applies advanced knowledge and an understanding of concepts, principles and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions that may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range** : $123,400 - $149,855 **Bonus eligible** : Yes **Benefits** : Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs Application window anticipated to close: 2/6/2026*if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-MP1 \#LI-remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Earth Systems Science Division, part of the Energy and Environment Directorate, provides leadership and solutions that advance Earth system opportunities for energy systems and national security. We are a multidisciplinary division connected by a shared commitment to innovate and collaborate towards solving complex problems in the dynamic Earth system. **Responsibilities** PNNL's Environmental Subsurface Science Group is seeking a mid-level scientist or engineer with broad experience in geophysics, reservoir modeling, geologic carbon storage, geothermal energy production, and environmental remediation. The position requires the ability to lead and support the development of simulation capabilities and the application of advanced simulation tools to diverse problems. The candidate will lead and work collaboratively with teams in multiple disciplines, including geophysics, geochemistry, and environmental engineering. The Team studies the geosphere, hydrosphere, biosphere, atmosphere, and/or interactions of these systems with human activities. It uses scientific principles, instrument measurements, computer models, data analysis, and knowledge of policy and regulatory drivers to study the environment and/or develop solutions to environmental problems. Leverages knowledge and tools from fields such as ecology, biology, physics, chemistry, geochemistry, soil science, geology, hydrology, atmospheric science, economics, and/or integrated assessment. Studies the geosphere, hydrosphere, biosphere, atmosphere, and/or interactions of these systems with human activities. Uses scientific principles, instrument measurements, computer models, data analysis, and knowledge of policy and regulatory drivers to study the environment and/or develop solutions to environmental problems. Leverages knowledge and tools from fields such as ecology, biology, physics, chemistry, geochemistry, soil science, geology, hydrology, atmospheric science, economics, and/or integrated assessment. **Qualifications** Minimum Qualifications: + BS/BA and 9+ years of relevant experience -OR- + MS/MA and 7+ years of relevant experience -OR- + PhD with 5+ year of relevant experience Preferred Qualifications: + Experience leading technical teams. + Experience modeling carbon sequestration, enhanced geothermal systems, gas hydrates, and contaminant fate andtransport. + Experience working with reactive transport software. + Experience developing simulation software for high performance computers. + Proficiency with Python. + Experience with analysis and visualization tools (e.g., Matplotlib, Paraview). + Experience with open source software development, distributed version control, and continuous integration. + Candidates should have a demonstrated commitment to data quality and accuracy, strong written and oralcommunication skills as evidenced by scientific publications and conference presentations, and be able to workindependently and in a team setting. + Candidates should have experience with business development, such as proposal development and clientengagement. + Candidates should have experience mentoring students, interns, or junior staff. + Candidates should have experience leading small project tasks. **Hazardous Working Conditions/Environment** Not Applicable **Additional Information** This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements: + U.S. Citizenship + Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. + Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. **Testing Designated Position** This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $173,400.00/Yr. **Maximum Salary** USD $274,100.00/Yr.

The Santa Fe Institute -a private, not-for-profit research and education facility-has an opening for a two-year full-time postdoc. We are seeking a highly motivated scholar with expertise in Computer Science and a desire to apply their expertise to analyze the evolution of human social systems from pre-historic times up to the present. This two-year position is part of a project inspired by recent results uncovering deep connections among information theory, energy expenditure and harvesting, and computation. The goal is to investigate the long-term evolution of human social complexity through the lens of computer science theory. This position is based in-person in Santa Fe, NM. The project aims to model societies as computational systems, examining how they process and store information to adapt to dynamic environments while leveraging increasing computational power to extract more energy from the environment in order to sustain and grow. By combining insights from theoretical computer science, social science, stochastic thermodynamics and complex systems research more broadly, this work seeks to uncover how social complexity scales with population size, energy systems, economic development, and technological advancements. The research also aims to illuminate both historical transitions and pressing contemporary challenges, such as the societal impacts of AI and other transformative technologies. Responsibilities: Collaborate with PIs Kyle Harper and David Wolpert along with other team members to advance this project through research, publication, workshop organization, etc.; Collaborate with social scientists to model social systems as computational processes; Collaborate with social scientists to apply theoretical computer science tools to develop understanding of how the intrinsic computational limitations of human social systems depend on the sizes, communication networks, technologies, etc., of those social systems. Preferred Qualifications: o Ph.D. in Computer Science, Computational Social Science, or a related field (by start date). o Experience with natural language processing, machine learning, or network analysis. o Interest in interdisciplinary collaboration with historians, archaeologists, and social scientists. o Strong programming skills and familiarity with handling large, diverse datasets. What We Offer: o An intellectually vibrant and collaborative environment at the forefront of complex systems research. o Opportunities to publish in high-impact journals and engage in innovative team research. o Competitive salary, generous benefits, paid family leave, paid time off, modest relocation support and support for conference travel and professional development. The start date for the position is flexible . Applications will be considered as they are received. To Apply: Please upload the following: CV 1-page research statement The names, email addresses, and phone numbers for three references You may also email questions to Kyle Harper (*****************) or David Wolpert (*************************) . SFI is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive academic global community. Women and members of underrepresented groups are especially encouraged to apply. SFI is responsive to the needs of dual career couples and is committed to building a culturally diverse research environment. U.S. citizenship is not a requirement, however, you must be legally able to work in the US. SFI will sponsor a J1 Visa for successful candidates. SFI is not able to sponsor a H1B Visa for candidates.

Operate Canberra Gamma systems and NDA systems. Review data and prepare reports. This position is located in Los Alamos, New Mexico. Operate Gamma spectroscopy systems. Operate NDA waste assay systems. Analyze data and prepare NDA results reports for final review by scientist or senior scientist, as applicable. Perform measurement control activities. Perform Independent Technical Review (ITR) of data. ADDITIONAL DUTIES: Assist in performing field measurements and field assessments. Assist in NDA system maintenance. ESSENTIAL REQUIREMENTS: Understanding of waste system theory and operation. Understanding of operation of NDA systems. Proficient in communication and drafting of reports for customer use. Proficient in use of computers. ADDITIONAL REQUIREMENTS: Able to work in extreme temperatures for extended periods of time - As Required. Capable of successfully completing contractor/customer required training - As Required. Capable of maintaining work site access requirements - As Required. Ability to obtain/maintain a Q-clearance - As Required. EXPERIENCE AND EDUCATIONAL REQUIREMENTS Six months to one year of nuclear related experience. High School or equivalent technical training, OR two years nuclear related experience.

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

The NMHU-BioPACIFIC MIP PREM represents a collaboration between New Mexico Highlands University ( NMHU ) and BioPACIFIC Materials Innovation Platform ( MIP ) at University of California, Santa Barbara ( UCSB ) and University of California, Los Angeles ( UCLA ) in design, synthesis and applications of metal-organic hybrid biomaterials. An appointee in this position will be responsible for chemical synthesis and characterization of organic-inorganic hybrid materials including but not limited to metal organic frameworks (MOFs) and synthetic perovskites. Characterization of synthesized materials will include diffraction, spectroscopic, magnetic and thermal characterization and other methods. An appointee should supervise both undergraduate and graduate students. He/she should present obtained results in form of research conference presentations and publications. Duties And Responsibilities Conduct research in the appropriate field of materials science and chemistry, publish findings in professional journals, and apply for extramural funding; Maintain regular attendance on campus; hold office hours as required; advise and mentor undergraduate and graduate students; Perform other related duties as assigned. Preferred Qualifications Strong publication records. Knowledge of materials modeling and desire to collaborate with colleagues applying machine learning and artificial intelligence methods to predictions of materials structure - properties relations. Strong work ethic and motivation to lead multiple research programs.

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

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. 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.

We are looking to fill a microbiologist position (environmental monitoring focus) working as a full-time employee of Parexel FSP on long-term assignment onsite at one of our clients in Rahway, NJ. This position offers full benefits, sick time, 401K, paid holidays, and paid time off. This position does not offer sponsorship. **Qualifications** + Bachelor's degree required; concentration in a scientific or applied discipline strongly preferred + A minimum of two years of experience in pharmaceutical microbiology related position required (occasional overtime) **Required Skills and Experience** + Experience in working in a GMP Pharmaceutical environment with specific experience environmental monitoring + Proven technical writing skills (SOPs, protocols) **Responsibilities** ENVIRONMENTAL MONITORING + Proficiency in the pharmaceutical microbiology laboratory workflow for EM collection and testing, reporting and trending + Sampling EM rooms, surface and air + Collection and testing water samples + Weekly water trends- visually to be able to report back to the source area + Equipment responsibilities with metrology oversight, automation, etc + MODA USE + Responsible for writing annual reports + Responsible for writing trend reports + Able to clearly interpret adverse vs desirable data + Mold investigations and studies + PSIM work + Biological indicator analysis and certification + Disinfection studies where appropriate + Critical thinking with data MICROBIOLOGICAL PRODUCT ANALYSIS + Analyze samples and compile meaningful data + Perform Investigations and prepare/respond to CAPA + Review, revise Test Procedures/Standard Operating Procedures + Ad Hoc work + Rotational on-call assignments for responding to alarms MICROBIOLOGICAL ACTIVITIES Include (but not limited to): + Receive, verify & Log in samples + Return templates and shipping paperwork when and where appropriate + Prepare and ship materials offsite for ID/testing (when applicable) + Stock culture management and quality control of same + Biological indicator management + Bioburden testing + Water sampling + Microbiological media management and quality control of same + Sterilization activities + Research experiments as deemed appropriate by client management + Method Validation/Qualification + Other microbiological activities CALIBRATIONS: + Execute "Before-Use" calibrations prior to performing testing + Review calibration data within the ELN + Prepare and submit equipment for calibrations (offsite or onsite) + Complete calibration/PM paperwork GMP ACTIVITIES: + Prepare GMP documentation as requested by management + Perform laboratory sanitizations and ensure cleanliness of laboratory workspace + Perform equipment sanitizations (incubators / hoods / refrigerators) + Purchase supplies (GMP) + Prepare and send documents to Records Center INVESTIGATIONS: + Initiate, facilitate, and perform Investigations and NOEs (Notice of Event-NOE) for Environmental samples [NOE for Microbiological Environment Event (MEN)] + Inform management of non-conforming events AUDITS: + Participate in audits (Regulatory, In-house, Corporate) + Participate in self-inspections and safety inspections + Retrieve data when requested by Microbiology management TRAINING: + Complete assigned training when required + Ensure training is complete prior to performing tasks + The role is intended to be a 40-hour-per-week position. **About Parexel** Parexel FSP includes the CMC Operations group. We provide pharmaceutical and biopharmaceutical companies with qualified and talented technical professionals to support the development and delivery of new therapies. For results-driven and caring individuals who want to make a meaningful difference in the world, Parexel is trusted by life sciences companies to meet their long-term staffing needs for scientists and engineers and related professionals in discovery and development of novel therapies, keeping patients at the center of everything we do, and where an inclusive community helps you be your best, transforming any career into a life-changing achievement. Come join us! \#LI-DK1 EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**What You Will Do** The Materials Science and Technology division at Los Alamos National Laboratory has great opportunities for post doc candidates to join a team in the field of materials modeling, particularly uncertainty quantification methods and algorithms associated to models for the mechanical performance of metals. You will work in conjunction with a team of staff scientists and graduate students. This position includes significant freedom in terms of specific research direction. In general, you will perform research to develop robust, physically realizable, and operationally valuable methods and algorithms to quantify and reduce the uncertainty of polycrystal constitutive models. The work will aim to (i) automatically calibrate and validate constitutive models for the mechanical performance of metals subjected to extreme environments, (ii) develop active learning schema, (iii) propose new design of experiments. You should have a strong publication record, an interdisciplinary research philosophy, and the ability to effectively communicate with researchers with varied backgrounds. As a postdoctoral research associate, you will be given the opportunity to publish results in high-impact peer-reviewed journals and to present at well-known conferences. The position is for two years, with a third year possible based on performance and funding. The successful candidate will join the 'Dynamic and Quasi-static loading - modeling (DQSLM)' team, which focuses on the development and use of advanced computational mechanics models to predict the effects of extreme and complex environments on both mechanical response and microstructure evolution in materials. The environments considered include high stresses, temperatures, radiation, etc. The DQSLM team adopts both hierarchical and integrated multiscale modeling and characterization strategies for mechanical deformation problems in the Material Science and Technology division. **What You Need** Minimum Job Requirements: + Strong programming skills required, along with either (A) experience with machine learning frameworks and data analysis; or (B) expertise in Bayesian inference drive method + Excellent presentation, oral and written communication skills. + Track record of peer-reviewed publications and presentations in your home discipline. + Excellent interpersonal, oral and written communications skills. + Strong publication record. Education/Experience: Ph.D. in computer science, applied mathematics, statistics, physics, materials science, or related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted Desired Qualifications: + Experience with uncertainty quantification methods. + Experience with machine learning systems and methods. + Demonstrated experience in interdisciplinary science, especially in the areas mentioned above. + Operational experience with national defense applications, technology development, and acquisition **What You Need** Minimum Job Requirements: + Strong programming skills required, along with either (A) experience with machine learning frameworks and data analysis; or (B) expertise in Bayesian inference drive method + Excellent presentation, oral and written communication skills. + Track record of peer-reviewed publications and presentations in your home discipline. + Excellent interpersonal, oral and written communications skills. + Strong publication record. Education/Experience: Ph.D. in computer science, applied mathematics, statistics, physics, materials science, or related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted Desired Qualifications: + Experience with uncertainty quantification methods. + Experience with machine learning systems and methods. + Demonstrated experience in interdisciplinary science, especially in the areas mentioned above. + Operational experience with national defense applications, technology development, and acquisition **What You Need** Minimum Job Requirements: + Strong programming skills required, along with either (A) experience with machine learning frameworks and data analysis; or (B) expertise in Bayesian inference drive method + Excellent presentation, oral and written communication skills. + Track record of peer-reviewed publications and presentations in your home discipline. + Excellent interpersonal, oral and written communications skills. + Strong publication record. Education/Experience: Ph.D. in computer science, applied mathematics, statistics, physics, materials science, or related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted Desired Qualifications: + Experience with uncertainty quantification methods. + Experience with machine learning systems and methods. + Demonstrated experience in interdisciplinary science, especially in the areas mentioned above. + Operational experience with national defense applications, technology development, and acquisition Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $94,500. For more information go to Postdoc Program website at *************************************************************************** Note to Applicants: + As part of the online application process, please include a cover letter describing your professional interests, career goals, and related skills and qualifications. + In addition to the application process, please email resume to **************** + No applicant is expected to have all the desired skills. Anyone who meets the education and minimum job requirements is encouraged to apply + The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: § PPO or High Deductible medical insurance with the same large nationwide network § Dental and vision insurance § Free basic life and disability insurance § Paid childbirth and parental leave § Award-winning 401(k) (6% matching plus 3.5% annually) § Learning opportunities and tuition assistance § Flexible schedules and time off (PTO and holidays) § Onsite gyms and wellness programs § Extensive relocation packages (outside a 50 mile radius) **Additional Details** Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request a disability accommodation, email ****************** or call **************, opt. 3 . How to Apply: How to Apply: Login to Your Account to Complete the Application Process Click the Vacancy Name number (in blue) to view any job's details. - Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. Instructions on How to Activate/Create a LANL Jobs Account: Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: - Select the Click Here button if you have been employed with the Lab or received insurance coverage. - Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. - Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account: - Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. - From here, you will establish an account with username and password How to Apply: How to Apply: Login to Your Account to Complete the Application Process Click the Vacancy Name number (in blue) to view any job's details. - Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. If you experience any technical issues, please email ****************** for assistance.