Principal research scientist jobs in Henderson, NV - 3,320 jobs

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei‑Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab). Join us and leave your mark on the future of robotics, AI, and global commerce. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. The Role Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision‑Language‑Action Models, general‑purpose robotic AI models, and reinforcement learning algorithms controlling multi‑agent robot fleets. You will play a critical role in working with our all‑star cross‑functional team to build models with immediate applications for the world's biggest robotics opportunity. Responsibilities Develop and train diffusion policies, VLMs, multi‑agent deep RL policies and more Develop data collection pipelines Design data annotation and labeling Support implementation of models into production systems Qualifications P.h.D in Robotics or Computer Science Experience training deep learning models for robotic manipulation or mobility Experience working with real robotic hardware Experience training models in simulation and developing simulation environments Experience collecting custom datasets Experience training on open‑source datasets Strong track record of publishing papers and/or deploying real‑world applications Experience with system architecture, design and development Additional Requirements Must be able to work extended hours and weekends as needed Must be able to work in San Francisco $180,000 - $250,000 a year The above range is the salary range. This position will also receive generous equity for this position. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr

A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available. #J-18808-Ljbffr

Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting‑edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world‑class scientists, engineers, and technical experts building technology for the United States. Summary As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting‑edge physics and artificial intelligence, and you'll work hands‑on to develop AI‑augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D. Responsibilities Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows Develop AI‑augmented tools for materials science, device physics, or accelerator physics applications Build internal AI infrastructure and capabilities to enable research teams across the organization Train and mentor scientists and engineers on integrating AI/ML into their research workflows Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems Develop data pipelines and frameworks for scientific machine learning across distributed teams Collaborate with computational physicists and experimentalists to identify high‑impact AI applications Set AI best practices and establish standards for ML‑augmented R&D Required Qualifications 5+ years professional or academic research experience in physical sciences, engineering, or related field 2‑3+ years hands‑on experience applying machine learning to scientific or technical problems Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar) Deep understanding of scientific computing, numerical methods, and computational modeling Proven ability to translate scientific problems into machine learning approaches Experience building tools, infrastructure, or capabilities used by technical teams Preferred Qualifications PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field Publications applying ML to scientific computing, simulation, or experimental data analysis Experience with physics‑informed machine learning or scientific foundation models Background in accelerator physics, semiconductor devices, materials modeling, or related domains Track record of enabling technical teams through tool development or mentorship Salary Range $150,000-$400,000 USD Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws. Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know. Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship. #J-18808-Ljbffr

About Hedra Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI-driven content creation. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy, initiative, and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving. Overview We are seeking a highly motivated Research Scientist to push the limits of long-form video generation, with a focus on auto-regressive modeling, causal attention mechanisms, and efficient sequence handling. The ideal candidate will have a deep understanding of temporal modeling in generative AI and experience building scalable architectures for multi-minute coherent video outputs. Responsibilities Design and implement long video generation architectures, with emphasis on auto-regressive generation, causal attention, and memory-efficient transformer designs. Develop methods for maintaining temporal and semantic coherence over long time horizons. Work closely with engineering to integrate research into production-grade pipelines. Stay on top of recent advances in long-context transformers, sequence compression, and scalable video generation. Present results internally and externally, including possible top-tier conference submissions. Qualifications PhD or strong research/industry experience in Computer Science, Machine Learning, or related fields, with a focus on sequence modeling or generative models. Deep understanding of transformer architectures, attention mechanisms, and auto-regressive modeling. Experience with long-context processing and memory-efficient computation. Proficiency in Python and PyTorch; ability to rapidly prototype and iterate on new architectures. A record of impactful research or large-scale system deployments. Benefits Competitive compensation + equity 401k (no match) Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office We encourage you to apply even if you don't meet every requirement - we value curiosity, creativity, and the drive to solve hard problems. #J-18808-Ljbffr

A pioneering AI security company located in San Francisco is seeking a Research Scientist to develop and enhance cutting-edge agent and machine learning security techniques. The ideal candidate will have expertise in Python and various LLM libraries, with a passion for innovation in a fast-paced startup environment. This role offers a competitive salary and the opportunity to work on groundbreaking AI solutions. #J-18808-Ljbffr

About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non‑invasive, ultrasound‑based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting‑edge hardware, software, and research capabilities to create products that can benefit millions - and eventually billions - of people. We've brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world‑class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on rodent behavior and neural imaging at Nudge, you will: Design and execute experiments in rodents to characterize the effects of ultrasound neuromodulation on brain circuits and behavior Collect and analyze behavioral and neural data, with techniques such as electrophysiology, calcium imaging and/or fiber photometry Develop and validate experimental paradigms linking neural activity changes to behavioral and physiological responses with clinical relevance Optimize ultrasound stimulation parameters for specific brain circuits and cell types to achieve targeted neuromodulation Translate preclinical findings to inform human neuromodulation studies About you PhD or postdoc in neuroscience, biomedical engineering or similar engineering discipline Exceptional proficiency in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two‑photon microscopy, or fiber phototometry in animal models Experience with automated behavioral tracking and analysis or computational analysis of neural + behavioral data Experience designing experiments informed by ultrasound physics and acoustic field modeling is preferred Demonstrated history of exceptional technical contribution #J-18808-Ljbffr

About Chai Discovery Chai Discovery is unlocking new biology with artificial intelligence by building state-of-the-art foundation models. The company is operating in stealth mode by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs, have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies. The company is backed with significant capital by top-tier investors. Position Overview Chai Discovery is seeking a highly experienced AI Research Scientist to play a crucial role in the development of our next-generation AI x biology foundation models and application to real‑world drug discovery challenges. The AI Research Scientist will work closely with the founding team to design and implement AI‑powered solutions to complex problems in the drug discovery pipeline. Key Responsibilities Design, implement, and evaluate novel AI models tailored for drug discovery applications, such as protein design and small molecule discovery. Manage and lead large‑scale machine learning research projects, ensuring they align with business goals. Scale our models on massive datasets in a distributed fashion across many GPU nodes. Develop innovative new techniques focused on large‑scale models for biomolecular design. Develop robust and scalable AI pipelines to process, analyze, and interpret large‑scale biological and chemical datasets. Stay updated on the latest advancements in AI research and bioengineering, communicate insights to the broader team, and incorporate relevant techniques into the company's research agenda. Work closely with software engineers to integrate AI models into production systems, platforms, and front‑end applications. Support customers on the deployment of our systems into real‑world drug discovery workflows. Participate in writing research papers, patent applications, and case studies. Qualifications Master's or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field. Minimum of 5 years of hands‑on deep learning model development, with expertise in PyTorch, JAX or Tensorflow. Strong foundation in machine learning, deep learning, and AI algorithms. Demonstrated ability to independently lead research projects, for example by publishing research at top conferences or serving as a staff+ engineer in top industry functions. Previous experience applying AI to biomolecular data is a plus. Experience managing technical teams or leading complex technical projects is a plus. What We Offer Highly engaging work at the frontier of AI‑driven drug discovery that will fundamentally change how new drugs are created. Opportunity to work with world‑renowned leaders in the AI x biology ecosystem who have created some of the most impactful advancements to date and led highly successful technology careers. Highly competitive salary Highly competitive equity package Healthcare and wellness benefits Continuous learning and career growth opportunities Collaborative and supportive startup culture A high‑energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives. Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Behavioral Research Scientist Salary: $140,000-$160,000 + Equity Company Description: VC-backed AI simulation platform Job Description: Shape the cognitive and behavioral foundations of AI agents for a cutting‑edge simulation engine. This role involves applying scientific depth to model decision‑making, attention, and heuristics, impacting how next‑generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real‑world impact to scalable systems. Location: San Francisco, USA Why this role is remarkable: Join a team creating category‑defining technology, building the simulation layer for adaptive software. Backed by top‑tier VCs and product/engineering leaders from leading tech companies. Apply deep behavioral science and cutting‑edge AI to solve complex product challenges with immediate impact. What you will do: Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision‑making. Translate behavioral theories into practical agent architectures, defining user clusters and personas. Design and analyze in silico experiments to test agent responses and benchmark simulation realism. The ideal candidate: PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI. Proven experience conducting original research on decision‑making or behavioral modeling in digital contexts. Passionate about applying rigorous scientific research to real‑world, impactful AI systems. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. About the Role Generative AI is transforming what's computationally possible-but it's also exposing the limits of classical hardware. Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly. We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows-not incremental improvements, but structural speedups rooted in the mathematics of these models. What You'll Work On Generative Model Architecture & Efficiency Advance state-of-the-art diffusion and score-based generative models Analyze computational bottlenecks in sampling, denoising, and likelihood estimation Develop and benchmark novel solver methods for diffusion ODEs/SDEs Quantum-Classical Integration Identify mathematical structures in generative models amenable to quantum speedup Prototype hybrid workflows where quantum subroutines accelerate classical pipelines Rigorously benchmark theoretical versus practical advantage in realistic workloads Research to Production Translate research insights into scalable implementations Collaborate with quantum hardware teams to inform architecture requirements Build systems that make quantum-accelerated generation accessible to practitioners You May Be a Good Fit If You Have deep expertise in diffusion probabilistic models, score matching, or related generative methods Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation Question assumptions and validate with rigor, following interesting threads wherever they lead Communicate complex ideas clearly across research communities Are excited to work on problems no one has solved before Strong Candidates May Have Published research on diffusion models, score-based generation, or neural ODE/SDE methods Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.) Familiarity with numerical methods for differential equations Understanding of quantum algorithms and computational complexity Background in high-dimensional probability or stochastic processes Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. How We're Different We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We're looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits Visa Sponsorship - We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible. Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection - Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at ********************** #J-18808-Ljbffr

Cambridge UK (On-site) About AstraZeneca AstraZeneca is a global, science‑led, patient‑focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we are pioneering new frontiers by identifying and treating patients earlier, working towards the aim of eliminating cancer as a cause of death. Come and join our AZ team where you will play a pivotal role in this exciting period of development! As an Associate Principal Scientist, you'll spearhead the development of innovative bioconjugates, pushing the boundaries of science to develop life‑changing medicines. Join us in exploring new frontiers and making a significant impact on global healthcare. Key Responsibilities Lead antibody‑based conjugation projects for both technology development and inclusion in our bioconjugate portfolio. Conceive, design, and synthesize high‑quality antibody conjugates (ADCs, bispecifics/tri‑specifics etc.) using lysine, cysteine, engineered‑cysteine and enzymatic chemistries. Select payloads and rationally design conjugate architectures to optimise stability, payload-antibody ratios (DAR/PAR/OAR), pharmacology, and on‑target potency balance and efficacy. Lead hands‑on expression, conjugation and purification at small‑to‑mid‑scale material (up to gram‑scale), establish robust SOPs, and deliver materials to internal stakeholders on schedule. Express and characterise antibodies, VHHs and fusion constructs; perform bioconjugation, binding assays, and developability assessments. Extensive experience in protein engineering related to antibody conjugate optimisation such as half‑life extension, effector silencing, Fc engineering for thermal stability. Own analytical QC across SEC, HIC, RP‑HPLC, IEX, native and denaturing SEC‑MS. Partner with cross‑functional teams (e.g., therapy area partners, senior leaders, protein engineering, bioanalytics, pharmacology) to set experimental strategy, interpret data, and move programmes through appropriate milestones. Contribute to IP (inventions/patents) and publications; present at internal governance and external conferences. Mentor junior scientists and (where applicable) and matrix‑manage pipeline and technology projects in support of antibody‑conjugates by championing high standards in safety, quality and scientific rigour. Requirements PhD (or equivalent) in Chemical Biology, Biochemistry, Pharmaceutical Sciences, Chemistry or a related field and 8 years' hands‑on experience in bioconjugation/ADCs in biotech/pharma. Demonstrated track record progressing conjugate therapeutics (e.g., ADCs etc.) through key discovery gates and into pre‑clinical development. Deep expertise in bioconjugation chemistries (lysine, cysteine/engineered cysteine, enzymatic); ability to tailor conjugation routes to format, payload and developability constraints. Payload selection and linker-payload design (cleavable/non‑cleavable; acid‑labile, enzyme‑cleavable; rebridging and site‑specific strategies); strong SAR approach. Protein expression and purification (IgG, VHH, fusion constructs) with hands‑on experience in bioconjugation, purification and QC release. Mastery of analytics: SEC/HIC/RP‑HPLC/SAX; LC‑ESI‑MS (native SEC‑MS and denaturing RP‑MS); data analysis and interpretation for batch release and comparability. Proven ability to lead deliverables, communicate progress to cross‑functional leadership, and present complex results to governance/senior stakeholders. Exposure to Fc‑engineering (e.g., FcγR mutations, half‑life modulation) with cell assay execution. Familiarity with display technologies and protein engineering concepts to support conjugation site selection and format design. Experience authoring patents/manuscripts and contributing to articles & grants; effective scientific writing. Desirables Experience in application of AI design methodologies for bioconjugate development i.e. payload site placement, conjugation efficiency, developability or stability. Functional and primary cell assay design and execution (ADCC/ADCP; internalisation; efferocytosis) and associated data analysis/statistics. Familiarity with dual‑payload strategies and rebridging approaches. Broad bioassay toolkit: reporter assays (luciferase/SEAP), flow‑based internalisation, confocal imaging, Incucyte‑based live‑cell readouts. In Office Requirement When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life‑changing medicines. In‑person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of five days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca? At AstraZeneca's Oncology R&D business area, you'll be part of a team playing a critical role in driving meaningful change in the way we predict, prevent and treat patients' conditions. We're actively embracing and investing in technology, harnessing digital, data and analytics to reimagine the future of healthcare and deliver improved outcomes to patients beyond core medical. We're shaping the future, improving and speeding up portfolio development, improving the patient experience and outcomes at clinical trials. Join the team that is co‑creating a digital ecosystem with patients at its core. Competitive salary and benefits package on offer. The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, and a performance recognition scheme and a competitive, generous remuneration package. Date Posted 15-Jan-2026 Closing Date 23-Jan-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

Job Title:Associate Principal Data ScientistRequisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling.Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Businessteams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Bonus Points Experience working with advertising data products or monetization systems. Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable. #J-18808-Ljbffr

The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes. The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be . In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide: Basic science research projects with potential for broad and sustained impact on pressing biomedical problems Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing A collaborative, inclusive, and supportive research environment Opportunities for authorship on research publications A team committed to continuous learning and scientific collaboration Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university CORE DUTIES: Research & Technical Development: Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows Troubleshoot complex experimental systems and maintain laboratory instrumentation Organize experimental data Data Analysis & Reporting: • Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication • Collaborate on data visualization and statistical analysis to support research conclusions Laboratory Leadership & Management: Develop and implement short- and long-term research strategies in collaboration with the Lab Head Train and mentor junior laboratory members in experimental techniques and data analysis methods Oversee laboratory operations including supply management, equipment maintenance, and safety protocols Prepare specifications for specialized equipment and coordinate procurement of some research supplies Required Qualifications: Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies Strong technical proficiency combined with scientific creativity and collaborative skills Ability to work independently while contributing effectively to team-based research goals Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward Ability to write and prepare reports or manuscripts for presentation to large audiences. Experience mentoring and training junior researchers Commitment to fostering an inclusive and collaborative research environment Preferred Qualifications: Experience with biochemical assays for protein-nucleic acid interactions Familiarity with computational analysis of next-generation DNA sequencing data Prior experience in technology development or method optimization Track record of scientific publications in peer-reviewed journals Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note: • This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. • Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application. The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Keywords: protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication

A cutting-edge AI startup is seeking an experienced AI Researcher to drive innovative research in generative AI and build multimodal foundation models. Ideally located in San Francisco, the candidate will require a PhD and 5+ years in the field. Responsibilities include designing and implementing models, conducting independent research, and publishing findings. This role is central to advancing AI for earth observation and creating a positive impact. #J-18808-Ljbffr

What We Do / Project The Senior Design Researcher will champion user-centered research and design practices for internal, web-based applications and platforms used by business stakeholders. This role focuses on uncovering user needs, synthesizing insights, and guiding the design of intuitive, data-driven experiences that simplify complex workflows and enable faster, more informed decision-making. Job Responsibilities / Typical Day Strategy & Leadership Define and drive a clear research vision aligned with product and business goals Prioritize research initiatives to maximize impact and inform product strategy Foster a research-driven culture by promoting best practices and deep understanding of user needs Mentor and coach team members to strengthen research capabilities and elevate overall impact Research Planning & Execution Plan and conduct user interviews, workshops, and usability testing to uncover explicit and latent user pain points Partner closely with UX Designers, Technical Product Owners, and Business Analysts to execute research initiatives Apply appropriate qualitative and quantitative methods to inform design decisions Analysis & Communication Synthesize research findings into actionable insights Create impactful research artifacts such as personas, archetypes, user journey maps, and experience maps Present findings clearly and persuasively to diverse stakeholder groups Collaborate with design teams to translate complex business rules and data into intuitive, user-friendly solutions Facilitation, Collaboration & Advocacy Advocate for end users throughout the design and development lifecycle Collaborate with cross-functional teams, including UX, product, engineering, and delivery teams, to ensure insights are incorporated into designs, user stories, and final solutions Support iterative product development through ongoing research and validation Must-Have Skills / Requirements User Research Expertise: 8+ years of experience conducting user interviews and eliciting pain points and requirements Quantitative Research & Measurement: 8+ years of experience analyzing user behavior data to inform system and product design Mentorship & Coaching: 5+ years of experience mentoring team members and promoting user-centric thinking Nice-to-Have / Preferred Qualifications Design Thinking certification Experience designing enterprise-level products or internal tools Background in software design and development Experience in media and entertainment environments Familiarity with sales planning and execution workflows Branding experience Soft Skills & Core Competencies Deep theoretical and practical knowledge of qualitative and quantitative research methodologies Experience working on moderate to highly complex projects Strong portfolio demonstrating research process and impact, including: Research roadmaps Personas / archetypes User journey maps Experience maps Mental model diagrams Research reports and presentations Excellent written, verbal, and presentation skills Strong ability to empathize with users and uncover motivations Proven ability to mentor and collaborate across disciplines Experience working in agile, cross-functional teams Ability to work independently with minimal supervision Comfortable in fast-paced, evolving environments and resilient in the face of change Technology Requirements Prototyping tools: Figma or Adobe Creative Suite Survey tools: M365 Forms, SurveyMonkey Collaboration tools: Miro Documentation and reporting tools: Jira, Confluence, M365 Education Bachelor's degree in Design, Human-Computer Interaction (HCI), Sociology, Psychology, or a related field

The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires. The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance. Responsibilities Explore scientific questions related to the normative brain database. Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking. Apply big‑data analysis techniques and advanced computational methods to brain imaging data. Collaborate with the multidisciplinary research team. Contribute to peer‑reviewed publications and scientific communication. Qualifications Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or an equivalent level of experience preferred. Extensive experience with multimodal MRI, including functional, structural, and tractography methods. Proficiency in big‑data analysis techniques. Experience with other large brain databases preferred. Strong computational skills and a solid publication record. Benefits Competitive salary and benefits. Housing allowance. Other benefits as specified in the employment terms. Application Instructions Cover letter. Curriculum vitae with a full publication list. Transcript. Statement of research interests. Three representative publications. Three letters of reference. All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************. UAE nationals are encouraged to apply. Equal Employment Opportunity Statement NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability. #J-18808-Ljbffr

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. Scientist I: ($66,248.00 to $99,382.40) Qualifications Bachelor's degree in a calculus-based (STEM) field. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized. Highly Desired 2 plus years post-degree experience (internships/research labs counts). Coursework or project experience in at least one: accelerator physics, HV/pulsed power, vacuum systems, radiation detection, plasma physics, optical diagnostics. Proficiency in Python for data analysis. Strong lab skills: ability to follow procedures and write clear test notes. Desired Exposure to LIAs or electron beamlines; familiarity with EPICS/LabVIEW Hand-on with optical plasma diagnostics and/or vacuum hardware Safety awareness for HV/radiological work. Scientist II: ($81,307.20 to $121,971.20) Qualifications Minimum Education and Experience: Bachelor's degree in a calculus-based (STEM) field, plus at least 2 years' relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized. Demonstrated ability to design and analyze accelerator experiments and simulation with traceability to requirements. Solid grasp of BBU/corkscrew, envelope/optics matching, and beam diagnostics calibration/uncertainty. Experience integrating models with experimental data; author technical reports. Clear test notes. Highly Desired MS/PhD (or BS with 3-5 years) in relevant field. Desired Lead a small test campaign or subsystem from plan through execution to report. Experience with one or more codes: LSP, CHICAGO, FLAG, COMSOL, MNCP, Geant4. Basic EPICS IOC development or LabVIEW DAQ; vacuum & magnet alignment practices. Technical Knowledge (Scientist I & Scientist II) Accelerator physics: high-current electron sources/diodes. LIAs, magnetic focusing/solenoids, emittance, envelope physics, space-charge, BBU & corkscrew, tune/optics matching. Pulsed Power and HV: LTD concepts, solid state pulsed power, switching, transmission lines, grounding/isolation, EMI diagnostics and survivability. Beam-target/x-ray production: converters, bremsstrahlung yield, spot optimization, dose/fluence, target thermal response. Diagnostics and DAQ: fast detectors, timing/jitter, calibration/uncertainty, signal integrity, high-rate data pipelines. Vacuum and magnet systems: UHV practices, leak-check, magnet mapping/alignment, field quality and trim strategy. Modeling tools (examples): LSP, WARP, COMSOL, Geant4, MCNP, Python, CHICAGO, FLAG. Working knowledge of supervised machine learning, basics of model validation in test operations. Controls and test infrastructure: EPICS, LabVIEW, timing/fan-out, triggers, oscilloscopes/digitizers, safety interlocks. Additional Information: The primary work location will be the Losee Road facility in North Las Vegas, Nevada with frequent visits to the Nevada National Security Site (forward areas are approximately 90 miles from North Las Vegas). Work schedule for this position will be 4/10's, Monday - Thursday (subject to change). Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver's license. MSTS is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants offered employment with MSTS are also subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. In addition, Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age. Reference DOE Order 472.2, “Personnel Security”. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Department of Energy Q Clearance (position will be cleared to this level). Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4, “Workplace Substance Abuse Programs at DOE Sites,” will be conducted. Applicant selected will be subject to a federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matters. Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required. Reference 10 CFR Part 709, “Counterintelligence Evaluation Program.” MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: Scientist I: ($66,248.00 to $99,382.40) Scientist II: ($81,307.20 to $121,971.20) Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. The Enhanced Capabilities for Subcritical Experiments (ECSE) program is seeking outstanding scientists at various career stages (Scientist I and Scientist II) to work with ESCE team to support installation, commissioning, and technical maturation, the world's newest and most advanced linear induction accelerator, Scorpius. Scientists will contribute to ECSE program advancing high-current pulsed accelerator, beam transport, and x-ray source performance. Responsibilities span experimental activities (e.g. diagnostics developments), modeling and simulations, data analysis, and cross-disciplinary collaboration with pulsed power, target, controls, and operation teams in high-consequence DOE environment. Successful candidates will work within a collaboration between the Nevada National Security Site, Los Alamos National Laboratory, Livermore National Laboratory, and Sandia National Laboratory to prepare the accelerator for state-of-the-art experiments and to solve challenging problems that will improve accelerator performance and understanding of the physics behind. Key Responsibilities Contributes to solutions of problems and issues with limited scope and basic complexity, using a well-defined set of technologies, generally in support of more senior scientists. Solutions use established basic standards, practices and procedures as well as technical knowledge to address problems and complete tasks. Focus is on applying academic knowledge to the work environment and developing good work/team habits. Design, execute and analyze accelerator/beam experiments (injector, transport, target/x-ray conversion, stability/BBU, corkscrew mitigation). Develop, commission, and operate beam and x-ray diagnostics (e.g. BPMs, Faraday cups, scintillators/ICCD, streak cameras, x-ray diodes, spectrometers, interferometry, and others). Build, validate, and apply physics models and Multiphysics simulations; compare to experimental data and iterate designs. Apply targeted Machine Learning to speed up tuning, improve diagnostics insights, and support experiments planning; build data workflows and integrate with controls where appropriate, validate models against measurements. Author test plans, procedures, and technical reports; present results to program leadership and external partners. Work safety with high voltage, radiation, vacuum/pressure systems; follow Work Planning & Control and configuration management. Collaborate across controls (timing/EPICS), solid state pulse power, alignments, targets, and operations. Scientist I (Role Expectations): Execute well-scoped tasks under mentorship; own sub-system/test; grow into project ownership within 6-12 months. Contributes to solutions of problems and issues with limited scope and basic complexity. Defines specifications for procurements and initiates purchase requests. Follows established technical procedures and instructions. Assist in compiling and summarizing scientific data. Utilizes technology solutions for both experimental and operational needs. Assists in data cleaning, baseline models, and simple optimization trials under mentorship. Consistently practice Work Planning & Control; participate in pre-job briefings, wear required PPE, exercise stop-work authority and promptly report near-misses. Scientist II (Role Expectations): Own experimental or modeling packages; mentor juniors; contribute to hazard analysis and test readiness reviews. Assists in researching, compiling and analyzing scientific data. Participates in developing field programs and prepares designs, strategies, reports and proposals. Implements and uses technology solutions for both experimental and operational needs. Own a focused Machine Learning use case with clear success metrics. Lead pre-job briefs for small tests; author/update Job Hazard Analysis, verify LOTO/controls, and capture lessons learned after activities.

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. + MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. + MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. **Responsiblities** The Enhanced Capabilities for Subcritical Experiments (ECSE) program is seeking outstanding scientists at various career stages (Scientist I and Scientist II) to work with ESCE team to support installation, commissioning, and technical maturation, the world's newest and most advanced linear induction accelerator, Scorpius. Scientists will contribute to ECSE program advancing high-current pulsed accelerator, beam transport, and x-ray source performance. Responsibilities span experimental activities (e.g. diagnostics developments), modeling and simulations, data analysis, and cross-disciplinary collaboration with pulsed power, target, controls, and operation teams in high-consequence DOE environment. Successful candidates will work within a collaboration between the Nevada National Security Site, Los Alamos National Laboratory, Livermore National Laboratory, and Sandia National Laboratory to prepare the accelerator for state-of-the-art experiments and to solve challenging problems that will improve accelerator performance and understanding of the physics behind. **Key Responsibilities** + Contributes to solutions of problems and issues with limited scope and basic complexity, using a well-defined set of technologies, generally in support of more senior scientists. + Solutions use established basic standards, practices and procedures as well as technical knowledge to address problems and complete tasks. + Focus is on applying academic knowledge to the work environment and developing good work/team habits. + Design, execute and analyze accelerator/beam experiments (injector, transport, target/x-ray conversion, stability/BBU, corkscrew mitigation). + Develop, commission, and operate beam and x-ray diagnostics (e.g. BPMs, Faraday cups, scintillators/ICCD, streak cameras, x-ray diodes, spectrometers, interferometry, and others). + Build, validate, and apply physics models and Multiphysics simulations; compare to experimental data and iterate designs. + Apply targeted Machine Learning to speed up tuning, improve diagnostics insights, and support experiments planning; build data workflows and integrate with controls where appropriate, validate models against measurements. + Author test plans, procedures, and technical reports; present results to program leadership and external partners. + Work safety with high voltage, radiation, vacuum/pressure systems; follow Work Planning & Control and configuration management. + Collaborate across controls (timing/EPICS), solid state pulse power, alignments, targets, and operations. **Scientist I (Role Expectations):** + Execute well-scoped tasks under mentorship; own sub-system/test; grow into project ownership within 6-12 months. + Contributes to solutions of problems and issues with limited scope and basic complexity. + Defines specifications for procurements and initiates purchase requests. + Follows established technical procedures and instructions. + Assist in compiling and summarizing scientific data. Utilizes technology solutions for both experimental and operational needs. + Assists in data cleaning, baseline models, and simple optimization trials under mentorship. + Consistently practice Work Planning & Control; participate in pre-job briefings, wear required PPE, exercise stop-work authority and promptly report near-misses. **Scientist II (Role Expectations):** + Own experimental or modeling packages; mentor juniors; contribute to hazard analysis and test readiness reviews. + Assists in researching, compiling and analyzing scientific data. Participates in developing field programs and prepares designs, strategies, reports and proposals. Implements and uses technology solutions for both experimental and operational needs. + Own a focused Machine Learning use case with clear success metrics. + Lead pre-job briefs for small tests; author/update Job Hazard Analysis, verify LOTO/controls, and capture lessons learned after activities. **Qualifications** **Scientist I:** ($66,248.00 to $99,382.40) **Qualifications** + Bachelor's degree in a calculus-based (STEM) field. _Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized._ **Highly Desired** + 2 plus years post-degree experience (internships/research labs counts). + Coursework or project experience in at least one: accelerator physics, HV/pulsed power, vacuum systems, radiation detection, plasma physics, optical diagnostics. + Proficiency in Python for data analysis. + Strong lab skills: ability to follow procedures and write clear test notes. **Desired** + Exposure to LIAs or electron beamlines; familiarity with EPICS/LabVIEW + Hand-on with optical plasma diagnostics and/or vacuum hardware + Safety awareness for HV/radiological work. **Scientist II:** ($81,307.20 to $121,971.20) **Qualifications** + Minimum Education and Experience: Bachelor's degree in a calculus-based (STEM) field, plus at least 2 years' relevant experience. _Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized._ + Demonstrated ability to design and analyze accelerator experiments and simulation with traceability to requirements. + Solid grasp of BBU/corkscrew, envelope/optics matching, and beam diagnostics calibration/uncertainty. + Experience integrating models with experimental data; author technical reports. + Clear test notes. **Highly Desired** + MS/PhD (or BS with 3-5 years) in relevant field. **Desired** + Lead a small test campaign or subsystem from plan through execution to report. + Experience with one or more codes: LSP, CHICAGO, FLAG, COMSOL, MNCP, Geant4. + Basic EPICS IOC development or LabVIEW DAQ; vacuum & magnet alignment practices. **Technical Knowledge (Scientist I & Scientist II)** + Accelerator physics: high-current electron sources/diodes. LIAs, magnetic focusing/solenoids, emittance, envelope physics, space-charge, BBU & corkscrew, tune/optics matching. + Pulsed Power and HV: LTD concepts, solid state pulsed power, switching, transmission lines, grounding/isolation, EMI diagnostics and survivability. + Beam-target/x-ray production: converters, bremsstrahlung yield, spot optimization, dose/fluence, target thermal response. + Diagnostics and DAQ: fast detectors, timing/jitter, calibration/uncertainty, signal integrity, high-rate data pipelines. + Vacuum and magnet systems: UHV practices, leak-check, magnet mapping/alignment, field quality and trim strategy. + Modeling tools (examples): LSP, WARP, COMSOL, Geant4, MCNP, Python, CHICAGO, FLAG. + Working knowledge of supervised machine learning, basics of model validation in test operations. + Controls and test infrastructure: EPICS, LabVIEW, timing/fan-out, triggers, oscilloscopes/digitizers, safety interlocks. **Additional Information:** + The primary work location will be the Losee Road facility in North Las Vegas, Nevada with frequent visits to the Nevada National Security Site (forward areas are approximately 90 miles from North Las Vegas). + Work schedule for this position will be 4/10's, Monday - Thursday (subject to change). + Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. + Must possess a valid driver's license. MSTS is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants offered employment with MSTS are also subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. In addition, Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age. Reference DOE Order 472.2 (**************************************************************************************** , "Personnel Security". If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. **Department of Energy Q Clearance** (position will be cleared to this level). Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4 (*************************************************************************************************************** , "Workplace Substance Abuse Programs at DOE Sites," will be conducted. Applicant selected will be subject to a federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matters. Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required. Reference 10 CFR Part 709 (************************************************************************************ , "Counterintelligence Evaluation Program." MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: **Scientist I:** ($66,248.00 to $99,382.40) **Scientist II:** ($81,307.20 to $121,971.20) Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.

Click on "Learn more about this agency" button below for IMPORTANT additional information. Click on "Learn more about this agency" button below for IMPORTANT additional information. Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $74,678 to - $192,331 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Luke AFB, AZ Travis AFB, CA Show morefewer locations (28) Buckley AFB, CO Peterson AFB, CO Cape Canaveral AFS, FL Eglin AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Mountain Home AFB, ID Scott AFB, IL McConnell AFB, KS Barksdale AFB, LA Offutt AFB, NE Lakehurst, NJ Cannon AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Altus AFB, OK Shaw AFB, SC Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Langley AFB, VA Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 0401 General Natural Resources Management And Biological Sciences Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 853042900 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Execute assigned program elements, in-house and by contract, to comply with all applicable Federal, state and local environmental laws and policies. * Provide advisory services on specific problems, projects, program, and functions in assigned programs area. * Comply with health, safety, and environmental rules and procedures and performs work that enhances the safety of the work environment. * Plan, coordinate and manage all aspects of assigned environmental program or programs through application of professional. Requirements Help Conditions of employment * This Public Notice may be used to fill positions in other equivalent pay systems (i.e., NH, NJ, NK). * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments * Full/part-time employees occupying direct childcare positions are eligible for discounts IAW DAF AFSVC/CC Memo, 30 Sep 22; first child 100% / each additional child 25%. Other assigned CYP and FCC personnel are eligible for 25% discount. Qualifications Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Professional and Scientific Positions. BASIC REQUIREMENTS: A. Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. OR B. Combination of education and experience: Courses equivalent to a major, as shown in A above, plus appropriate experience or additional education. IN ADDITION TO MEETING THE BASIC REQUIREMENTS ABOVE APPLICANTS MUST ALSO MEET THE QUALIFICATION REQUIREMENTS LISTED BELOW: SPECIALIZED EXPERIENCE: GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience must include professional knowledge of environmental biological scientific concepts, principles, methodology, and practices and familiarity with other professional disciplines (e.g., engineering, community planning, and environmental science) to independently perform routine projects with complete responsibility, or portions of large and complex projects. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience must include professional knowledge and abilities applicable to a wide range of environmental biological science duties; and the skill to modify standard practices and adapt equipment or techniques to solve a variety of complex problems; adapt precedents or make significant departures from previous approaches to similar projects to provide for the specialized requirements of projects; and apply standard practices of related disciplines as they relate to biological science functions. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience must include professional knowledge of a wide range of environmental biological scientific concepts to include climate and hydrological science methods, guidelines, standards, research techniques, and state of the art capabilities and ability to resolve highly complex and difficult meteorological and climate science problems and issues. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience must include professional knowledge of environmental biological scientific concepts, principles, methodology, and practices and familiarity with other professional disciplines (e.g., engineering, community planning, and environmental science) to independently perform routine projects with complete responsibility, or portions of large and complex projects. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience must include professional knowledge of environmental biological scientific concepts, principles, methodology, and practices and familiarity with other professional disciplines (e.g., engineering, community planning, and environmental science) to independently perform routine projects with complete responsibility, or portions of large and complex projects. Click on the link to view occupational requirements for this position:*********************************************************************************************************************************************************************************************** KNOWLEDGE, SKILLS AND ABILITIES (KSAs): 1. Knowledge of professional environmental principles, practices, techniques, and procedures to effectively perform project development, execution, training, and advisory services in assigned program element. 2. Knowledge to troubleshoot environmental problems requiring investigation of unsanitary or questionable conditions in assigned program(s). 3. Knowledge of applicable Federal, State and local laws, regulations and other guidance to make decisions and recommendations concerning assigned restoration, compliance, conservation, pollution prevention, and/or integration principles and practices; and health, safety, and security practices. 4. Skill to integrate an interdisciplinary team of professionals to include attorneys, public health specialists, public affairs specialists, biological scientists, environmental engineers, physical scientists, general engineers, community planners, regulators, other governmental officials, and community groups. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on