Principal research scientist jobs in Las Vegas, NV - 3,032 jobs

About Nudge Nudge's goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more. To realize those ambitions, we're growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people's daily lives more than any other. About the team The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We're also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging. About the role Work closely with the Head of Research and engineering team to build the capabilities for on-device ultrasound-based imaging. Develop algorithms for structural and functional ultrasound-based imaging Perform validation of in-silico ultrasound imaging methods with Nudge hardware in physical models and in vivo Contribute to the development of aberration correction techniques informed by ultrasound-based imaging About you 5+ years experience PhD or Postdoc in Bioengineering, Medical Imaging, Physics or equivalent Expertise in ultrasound physics and metrology Demonstrated history of exceptional contributions in your prior work experiences Expertise in one or more of: Full-waveform inversion imaging Functional transcranial doppler imaging Functional ultrasound imaging Machine learning experience a plus Compensation $140,000 - $230,000/year + equity Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience. #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

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) 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 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. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job Description As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible. You might be a good fit if you… Are comfortable working with large-scale LLMs in the 10s to 100s of billions of parameters. Have solid ML and RL software engineering and scientific research skills. Have produced novel research related to fine-tuning LLMs or improving upon pre-trained LLMs. Have specialized expertise in topics like fine-tuning, RLHF, LLM tool-use, etc. Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology. Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public. Have strong communication skills and a desire to work on a small, fast-paced team. Your Responsibilities Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users. Developing and implementing methods that extend and improve model capabilities, reliability, and safety. Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $150,000 - $190,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #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

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

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!**Job Category**Software Engineering****Job Details********About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.**Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.**Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team:**Candidates have a strong background in one or more of the following areas:*** **Agentic AI & Reasoning:** LLM-powered agents, reinforcement learning, and autonomous workflows.* **Multimodal & Computer Vision:** Vision-language models (VLM), video understanding, and visual grounding for GUI agents.* **Speech Intelligence:** Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.* **Efficient Systems:** Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.* **Core Modeling:** Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.**Responsibilities:*** Own and pursue ambitious research and engineering goals aligned with strategic initiatives.* Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.* Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.* Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.**Minimum Qualifications:*** Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.* A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) **OR** a proven track record of shipping AI products to real users.* Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.* Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).* Proven ability to implement, operate, and deliver results via innovation at a large scale.**Preferred Qualifications:*** Full-time industry experience in deep learning research and/or product development.* Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.* Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).* Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.* Thoughtful about AI impacts, trust, and ethics.* Outstanding communication, collaboration, and problem-solving skills.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.****Accommodations****If you require assistance due to a disability applying for open positions please submit a request via this .****Posting Statement****Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $114,200 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $137,100 - $334,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### ### ###Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world. Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in #J-18808-Ljbffr

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Key responsibilities Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content Design and conduct rigorous experiments to validate new ideas and evaluate model performance Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences Contribute to the research community through high-quality publications and open-source contributions Mentor junior researchers and foster a culture of innovation within the research team Work closely with product teams to align research directions with user needs and market opportunities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models Extensive experience implementing and optimizing large-scale generative models for image or video tasks Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Proven ability to work collaboratively in a team environment Ideal candidate will have: Postdoctoral or industrial research experience in generative AI for video Hands-on experience with text-to-video generation projects Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video Experience working with large-scale datasets and distributed computing environments Track record of successful collaboration with product teams on technology transfers Familiarity with video codecs, compression techniques, and perceptual quality metrics Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

Machine Learning Research Scientist : Fast-growing AI research startup : As a Machine Learning Research Scientist, you will drive the development of next-generation AI models at a well-funded startup in the heart of San Francisco. You will lead groundbreaking research initiatives, translate complex theoretical concepts into scalable production code, and collaborate with a world-class team to push the boundaries of what is possible in machine intelligence. Location: San Francisco, USA Why this role is remarkable: Opportunity to work on bleeding-edge AI research that directly impacts the core product roadmap Backed by top-tier VCs in an environment that prioritizes technical excellence and rapid experimentation Join a high-caliber team of researchers and engineers from leading global technology institutions What you will do: Design and implement novel machine learning architectures to solve complex, high-dimensional data challenges Conduct rigorous experiments to validate model performance and ensure robustness in real-world applications Collaborate with engineering teams to integrate research breakthroughs into a scalable software ecosystem The ideal candidate: PhD or equivalent research experience in Computer Science, Mathematics, or a related quantitative field Proven track record of publishing at top-tier AI conferences such as NeurIPS, ICML, or ICLR Proficiency in deep learning frameworks like PyTorch or TensorFlow and strong software engineering fundamentals Next steps Step 1. Visit our website. Step 2. Click Talk to Jack. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free. #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

Granica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we're building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in. The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica's mission is to remove that inefficiency. We combine new research in information theory, probabilistic modeling, and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI. Granica's Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models. Granica is pioneering a new class of structured AI models: foundational models built to learn and reason from the world's relational, tabular, and structured data. While others focus on unstructured text or media, we are exploring the next frontier: systems that understand and reason over the information that runs the global economy. What You'll Build and Research Invent and prototype algorithms that define the foundations of structured AI, advancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale. Develop adaptive learners that fuse statistical learning theory with large-scale systems optimization, contributing to a new generation of foundational models for structured information. Design architectures that integrate symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data. Build cost models and optimization frameworks that make structured learning efficient, both computationally and economically. Collaborate closely with the Granica Research group led by Prof. Andrea Montanari (Stanford) and with systems engineers to transform theoretical ideas into production-grade systems used across live enterprise workloads. Iterate fast: prototype new model architectures, evaluate on live datasets, and publish results that advance both theory and practice. Contribute to the global research community shaping the future of structured AI and efficient learning. What You'll Bring Ph #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

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

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

**We believe in the power and joy of learning** At Cengage Group, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education. Cengage Group's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life. **Our culture values inclusion, engagement, and discovery** Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see *********************************************************** **What you'll do here:** + Collaborate closely with Product, Build, Sales, and Marketing groups to strengthen a data-driven culture and support customer engagement in research. + Develop evaluation frameworks, study builds, surveys, and other research instruments. + Coordinate data collection and analysis while maintaining scientific rigor. + Apply a strong understanding of data privacy and human-subject research requirements. + Identify patterns and insights through deep triangulation of multiple data sources. + Manage external vendors and partner with internal collaborators to ensure the quality and validity of insights. + Convey findings transparently and purposefully to support consistent product development and successful messaging. + Work with internal and external partners to refine research questions and provide actionable recommendations. + Monitor product implementation and deliver recommendations for ongoing optimization. **Skills you will need here:** + A PhD or Master's degree, or equivalent experience, in Educational Research, Psychology, Program Evaluation, Anthropology, or a related field, together with a strong business approach and interest in technology. + Experience conducting quantitative research and analyzing large datasets, with the ability to develop, lead, and coordinate research studies. + Experience in qualitative research and user-centered approaches, including the capacity to develop and lead open-ended, exploratory research. + Demonstrated experience developing research and evaluation frameworks and managing end-to-end research programs. + Strong project coordination skills; highly collaborative with a problem-solving, achievement-focused approach. + 2-4 years of experience managing research projects in a client services firm, B2C environment, or academic setting. + Preferred experience in Higher Education, K-12, or Career and Professional Education contexts. + Ability to self-manage progress against goals and results, with a high degree of accountability and urgency. + Strong bias for action. + Strong writing and data visualization abilities, capable of preparing and delivering information clearly to various audiences. + Comfort working through ambiguity and seeking answers to complex, open-ended problems. + Ability to work under tight deadlines while maintaining high quality standards. Cengage Group is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws. Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com . **About Cengage Group** Cengage Group, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education. **Compensation** At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here (******************************************************************************************** to learn more about our _Total Rewards Philosophy_ . The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range. In this position, you will be eligible to participate in the company's discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below. 10% Annual: Individual Target $77,100.00 - $90,000.00 USD **Cengage Group** , a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education. **_Warning: Be aware, there has been an increase of targeted recruitment_** **_scams perpetrated by bad actors falsely providing job offers on behalf Cengage Group to candidates as a means of obtaining personal information. Note that Cengage will always interview candidates via live in-person meetings, phone calls and video calls before an offer would be extended. Also, be sure to check that communication is coming from an @cengage.com email address._**

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. What we do Our Industry Solutions offering provides verticalized solutions that transform how clients sell products, deliver services, generate growth, and execute mission-critical operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector. Who we serve Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health - starting today. Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health. Work you'll do As an Industry Solutions Senior Consultant specializing in Life Sciences Patient Services, you will play a pivotal role in helping Patient Services clients achieve their transformation goals. Leveraging your expertise in patient services, you will interface between pharmaceutical, biotech or medical device clients and cross-functional implementation teams to identify and implement digital health solutions that improve patient outcomes. You will design, implement and optimize patient support programs, define project roadmaps and provide product and industry insights to deliver innovative solutions. The ideal candidate will be curious, analytical, and confident with a natural drive to exceed immediate project requirements and overcome obstacles. A genuine passion for the life sciences industry, combined with relationship-building, leadership, and communication skills will be critical to success. Candidates should be energized by continuous personal improvement, proactively seeking out new skills and perspectives, exhibiting openness to coaching from senior colleagues, and contributing to the development of junior staff. Key responsibilities include: * - Advise clients and Deloitte professionals (Product Owners, Designers, Developers, Architects) through the implementation of patient services technology solutions; including patient CRM, patient data & analytics solutions. * - Advise clients and Deloitte professionals on the adoption of innovative technologies to improve patient experience and operational efficiency * - Work with clients to provide product demos and help identify and design high value digital health applications supporting key patient services and healthcare use cases including defining personas, user journeys, and features * Prepare deliverables and provide leadership support to present findings and recommendations to clients and/or firm leadership * Establishing relationships with key client end users to help drive further adoption of the application throughout and at all levels of their organization * Required Qualifications * Bachelor's degree in Computer Science, Healthcare Administration, Life Sciences or related field * 4 years of experience in Life Sciences Patient Services Consulting * 1 year of experience utilizing AI platforms like Chat GPT / Grok / Anthropic to conduct research and as an aid for creating presentations and project documentation * 2 years of experience with Patient Data platforms such as AWS, Databricks * 2 years of experience Patient CRM platforms; Salesforce, Veeva * 2 years of experience with PAP, Copay and/or Adherence Programs for a pharmaceutical manufacturer or patient services hub provider * 2 years of experience using Microsoft Suite (Word, Excel, Power Point) to develop and deliver professional-quality documents, reports and presentations to client stakeholders and executive level leaders * Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available Preferred Qualifications * Advanced degree (e.g., MHA, MBA) * SQL, Power BI, Tableau data analytics skills preferred * Experience coordinating with globally located teams * Salesforce System Architect, Salesforce Application Architect, or other relevant Salesforce certifications * Experience implementing Salesforce Health Cloud or Life Sciences Cloud * SAFe, PMP, PMI, or Agile certifications * Experience defining personas, user journeys, and product features for life sciences patient services clients The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107600 to $198400 Information for applicants with a need for accommodation: ************************************************************************************************************ Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at *****************************. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see ********************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 317557 Job ID 317557

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.

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.

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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