Research fellow jobs in Santa Cruz, CA - 829 jobs

Job Title: Research scientist (Robotics, AI) Position Type: Full-Time / Permanent Salary range: $200,000/yr - $270,000/yr Job Description: We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities: Develop new algorithms and methods for training AI models for enhancing the robot dexterity. Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). Work with large-scale ML systems and large-scale model training/fine-tuning. Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. Passionate about working with robots and building robot products. Excellent analytical, problem-solving, and communication skills. At least 3 years of experience conducting independent research. Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. Proficient with Python. Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. Experience with real robot experiments. Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at *************************** Compensation: The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.

About the Role Our client - a frontier AI research company at the cutting edge of molecular design is hiring AI Research Scientists, Computational Biology, to join their growing research team. Founded by researchers and operators from leading AI4Biology labs and top technology companies, the team is building next-generation models that move beyond benchmarks into real-world therapeutic development. Backed by world-class investors, including Thrive Capital, Dimension, OpenAI, Amplify, they are scaling their research efforts to tackle some of the most challenging problems in drug discovery. Why Join? Frontier Research - Work alongside world-leading researchers pushing the boundaries of AI for molecular and biological modelling Real-World Deployment - Your research will be translated directly into active discovery programmes, not left on a shelf Technical Depth - Tackle open-ended scientific problems involving large-scale models, complex biological data, and first-principles reasoning Meaningful Impact - Help design technologies that have the potential to change how new therapies are created Who We're Looking For: We're seeking exceptional PhD Grad to Senior-Level AI Research Scientists, Computational Biology, with a strong research background and a drive to apply cutting-edge machine learning to real therapeutic challenges. Your Responsibilities: Conduct original research on ML methods for molecular and biological modelling Develop, train, and evaluate advanced deep-learning models for small molecules, antibody, proteins, or related systems Design modelling experiments to answer ambiguous scientific questions Collaborate closely with experimental scientists to translate model outputs into actionable insights Support validation, iteration, and deployment of models used in live discovery workflows What We're Looking For: PhD in Machine Learning, Computational Biology, Bioinformatics Strong research track record through publications, projects, or demonstrable impact Proficiency in Python and deep-learning frameworks (e.g. PyTorch) Experience working with molecular, chemical, or biological datasets Familiarity with advanced modelling techniques such as representation learning, generative models, multitask learning, or uncertainty-aware methods Locations: San Francisco Package: Salary up to $350,000K + benefits and equity options Ready to help shape the future of AI-driven drug discovery? Apply now.

AI Research Scientist - Diffusion Models & Quantum Algorithms About the Company Our client is an are an early-stage, well-funded deep-tech company building next-generation quantum computing hardware tightly coupled with advanced AI algorithms. Our team works across the full stack-from quantum hardware and error correction through to quantum and probabilistic algorithms. They are currently expanding our presence in San Francisco, where a new research lab is being established to focus on AI and quantum algorithms, working in close daily collaboration with an existing core research team in the Midwest. The company is under a year into its current form, scaling rapidly, and led by founders with strong academic and industry research backgrounds. The Opportunity We are hiring an AI Research Scientist to lead foundational research at the intersection of: Diffusion / probabilistic generative models, and Quantum computing and quantum algorithms What You'll Work On 1. Accelerating diffusion models Design and implement methods to accelerate training and inference for diffusion and probabilistic generative models Explore mappings from classical acceleration techniques (e.g. ODE / solver-based methods such as DPM-Solver) to quantum algorithms Build and benchmark “drop-in” quantum-inspired or quantum-native replacements for components of diffusion pipelines 2. Noise, probability, and quantum effects Investigate how quantum noise can be treated as a feature rather than solely a limitation Study noise distributions in diffusion processes and how quantum noise differs from classical noise Identify application domains where quantum sampling or noise properties may provide unique advantages 3. Inference & systems optimization Develop inference optimization strategies that generalize across GPUs, TPUs, and emerging hardware Build and maintain robust research codebases for diffusion models Evaluate approaches with clear quantitative metrics (speed, quality, cost, scaling behavior) 4. Cross-stack collaboration Work closely with quantum hardware and algorithms researchers across sites Translate between AI/diffusion requirements and quantum hardware constraints Help define abstractions and interfaces that expose new hardware capabilities to AI practitioners What We're Looking For We value depth of thinking, research ownership, and technical range over any single credential. Required experience Deep experience in diffusion / probabilistic generative models or quantum algorithms, with strong interest in the other Proven research ability, demonstrated through publications, preprints, technical reports, or equivalent output Strong coding skills (e.g. Python; PyTorch, JAX, or TensorFlow) and comfort with modern ML stacks Ability to independently: Comfort moving between theory and practice (math, algorithms, and production-quality research code) Experience working with modern accelerators (GPUs required; TPUs or other stacks a plus) Nice to have Hands-on work with diffusion models (image, video, text, or scientific domains) Experience with ODE/SDE-based samplers or inference acceleration techniques Background in quantum circuits, quantum error models, or NISQ vs. fault-tolerant regimes Experience on inference, optimization, or efficiency teams for large models Prior collaboration with quantum ML or quantum information research groups Location & Working Model San Francisco, CA (hybrid; 3-4 days onsite) In-person days are coordinated to maximize collaboration Frequent interaction with the core research team in the Midwest via daily syncs and periodic visits

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

A leading biotech company in Foster City is searching for a Senior Scientist with extensive experience in analyzing omics data such as RNA-Seq and WES. The ideal candidate will have a PhD and 8+ years of experience in the pharmaceutical or biotech industry, strong statistics knowledge, and excellent communication skills. Responsibilities include synthesizing scientific questions into research efforts and empowering teams to achieve organizational objectives. Join a dynamic team that values diversity and supports professional growth. #J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel. What You'll Do You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions: * Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations. * Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas. * Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies. * Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution. Experience We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies. * Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026 * Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations * Exceptional written and verbal communication skills with the ability to influence both peers and leaders * Experience in B2B marketing, GTM strategy, or marketing operations preferred * Proven ability to lead cross-functional initiatives and influence senior stakeholders. * Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred * Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $87,300 -- $167,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $115,500 - $167,250 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice Feb 27 2026 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

+ Client is working on updating a design language to better meet the needs of users and align more with modern expectations. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research. **Responsibilities:** + As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. + You'll play a critical role in creating useful, usable, and delightful products. + You will investigate user behaviour and user needs using empirical research methods such as survey research and regression analyses. + Work with stakeholders to understand and prioritize research questions. + Define research approach to answering those questions. + Own the entire research lifecycle from research design through analysis and presentation. **Experience:** + 5 years of experience in an applied research setting, or similar + Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go) + Survey research design and analysis + Experience owning and delivering quantitative research + Comfortable working with a variety of stakeholders + Expertise in multivariate statistics and the design of experiments. **Skills:** + Quantitative + Survey + Design + UX + Research **Education:** + Bachelor's degree in human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Hexagon Bio leverages its proprietary platform to discover new medicines by mining microbial genomes for their therapeutic potential. Our interdisciplinary team combines expertise in genomics, synthetic biology, machine learning, and drug discovery to accelerate the development of next-generation therapeutics. Location: Menlo Park, CA Job description: We are seeking a Computational Biologist / Data Scientist with deep expertise in evolutionary biology and natural product genomics to join our data science and genomics team. In this role, you will analyze large-scale microbial genomic datasets to identify, characterize, and prioritize biosynthetic gene clusters (BGCs) that encode novel chemistry. You will apply comparative genomics and evolutionary frameworks to Hexagon Bio's proprietary collection of over 100,000 fungal genomes, transforming genomic patterns into actionable hypotheses that drive experimental discovery and therapeutic development. You will work closely with biologists, chemists, and engineers to connect genomic insights with experimental design, pathway engineering, and downstream chemical and biological validation. This is an onsite role at Hexagon's office in Menlo Park, California. Key Responsibilities: Develop and apply computational methods to predict, classify, and prioritize biosynthetic gene clusters from large genomic datasets. Perform comparative genomics and evolutionary analyses across diverse, non-model fungal and bacterial species. Apply evolutionary and phylogenetic frameworks to identify novel biosynthetic potential and guide discovery strategy. Build, maintain, and scale robust Python-based pipelines for genome mining and data analysis. Integrate genomic insights with chemical, biological, and metabolomic data to support compound discovery and annotation. Collaborate cross-functionally to translate computational results into experimentally testable hypotheses and program decisions. Communicate findings clearly through analyses, visualizations, and presentations to multidisciplinary teams. Qualifications: PhD in Computational Biology, Genomics, Bioinformatics, or a related field. Demonstrated expertise in biosynthetic gene cluster prediction and natural product genomics. Strong background in genome evolution and evolutionary biology, particularly in non-model organisms. Proficiency in Python for data analysis, pipeline development, and algorithm implementation. Experience developing statistical or computational approaches to extract biological insight from genome-scale data. Experience analyzing or interpreting metabolomic data in the context of natural product discovery is a plus. Prior exposure to experimental microbiology, metabolomics, or natural products chemistry is a plus. Experience with cloud computing platforms (e.g., Google Cloud, AWS) is a plus. Experience building production-quality software or scalable analysis pipelines is a plus. Experience applying or developing machine learning methods is a plus, but not required. What We Offer: A collaborative, interdisciplinary environment with strong scientific ownership and impact. A transparent culture supported by regular All Hands meetings. Competitive compensation, equity, and comprehensive benefits. Opportunities for rapid growth and career development. Support for attending scientific conferences and external collaborations. Access to Menlo Park Labs amenities, including shuttle service, gym, climbing wall, pool, sports courts, café, bike storage, and EV charging. Team-building events such as Hexagon Happy Hours and company celebrations. Additional Information: The salary range is dependent on the level of Data Scientist that is hired. The salary range for this position is $150,000- $230,000. Our salary ranges are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Hexagon Bio is an equal opportunity employer and committed to a diverse workplace. All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, disability status, membership in an organization, or any other non-merit factors Note to External Recruiters: Submission of unsolicited resumes prior to an agreement set in place does not create any implied obligation.

The Opportunity Imaging-based phenotyping of in vitro biology is at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these image-derived phenotypes and human disease and translating them into actionable outcomes. We are looking for a computational biologist with expertise in microscopy data, including a deep understanding of cell and disease biology and fluency with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities of developing disease-relevant cell models and analyzing high-throughput phenotypic screens, ensure that the tools being developed are statistically calibrated and effective, that analyses are performed to the highest rigor, and following best practices in the broader scientific community. In this role, you will collaborate closely with experimental biologists and machine learning scientists to help identify novel phenotypes, develop new screening paradigms, and improve our understanding of disease. You will use machine learning, statistical, and bioinformatics methods to process and analyze diverse microscopy modalities as well as other modalities, such as transcriptomics and human cohort data, in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. This role will be reporting to the Head of Computational Biology and ML-Omics . This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. You will be joining a vibrant biotech startup that has many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! Responsibilities * Analyze image-derived features extracted from microscopy datasets from disease-relevant in vitro models to identify potential therapeutic targets from perturbation screens * Partner with experimental biologists to design, troubleshoot, and optimize high-throughput imaging-based experiments and workflows * Synthesize insights from multimodal analyses (microscopy, spatial proteomics, bulk/single-cell RNA-seq, human cohort data) to uncover disease mechanisms and generate therapeutic hypotheses * Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions * Provide domain expertise in cell biology to guide assay development and biological interpretation of image-derived phenotypes * Communicate findings to cross-functional stakeholders through reports, visualizations, presentations, and publications * Identify novel disease-relevant phenotypes and propose new screening paradigms that translate to actionable program decisions * Contribute to therapeutic target identification by linking phenotypic readouts with genetic and omics signals About You * Ph.D. in computational biology, systems biology, bioengineering, machine learning, or a related discipline, with 3+ years of working experience post graduation * Hands-on experience working with microscopy data, preferably fluorescence and label-free microscopy * An understanding of molecular biology or disease biology (e.g. neurological disorders, metabolic disorders) * Experience with spatial proteomics or transcriptomics * Strong programming skills and proficiency with Python scientific packages (i.e., numpy, pandas) * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions * Committed to writing well-commented code and documentation, and familiar with coding best practices (i.e. version control, code review) * Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $175,000 - $200,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: * 401(k) plan with employer matching for contributions * Excellent medical, dental, and vision coverage as well as mental health and well-being support * Open, flexible vacation policy * Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) * Quarterly budget for books and online courses for self-development * Support to attend professional conferences that are meaningful to your career growth and role's responsibilities * New hire stipend for home office setup * Monthly cell phone & internet stipend * Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid * Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at ****************. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit ****************

Quantitative Geneticist, Predictive Breeding Time Type: Full Time The Opportunity At Ohalo, we are building the future of agriculture with our breakthrough Boosted breeding technology. We are seeking a visionary and hands-on Quantitative Geneticist to be a principal architect of the computational engine that drives our entire crop improvement strategy. This isn't a typical modeling role. You will be at the nexus of genetics, data science, and engineering, designing the predictive systems that guide our breeding decisions. You will build and deploy everything from genomic selection models to sophisticated simulations that chart the course of our breeding portfolio. If you are driven to solve complex problems and want to see your code and models directly translate into real-world genetic gain, this is a unique opportunity to make a foundational impact. Responsibilities As a key member of our technical team, your responsibilities will be organized around three core pillars: 1. Core Predictive Science Genomic Prediction & GWAS: Design, build, and validate the primary statistical models (e.g., GBLUP, ss GBLUP, GWAS) that form the foundation of our predictive capabilities, translating genotype and phenotype data into actionable insights. Breeding Simulation: Evolve our in-house breeding simulation platform to run complex, large-scale scenarios. Your models will answer critical strategic questions about resource allocation, risk management, and the optimal path to achieve our breeding objectives. 2. Strategic Decision Modeling Pipeline Optimization: Move beyond prediction to prescription. Design and implement online optimization models (e.g., using multi-armed bandits, online learning, metaheuristics) to create a self-improving system that dynamically allocates resources and maximizes the rate of genetic improvement. Portfolio Management & Utility: Develop and integrate multi-trait utility functions that align our selection strategy with market needs and product profiles. You will help manage the entire breeding portfolio as a strategic asset. 3. Innovation & Collaboration Accelerate Research with AI: Act as a force multiplier by leveraging modern AI tools across the research lifecycle. This includes using LLMs for hypothesis generation, pioneering the use of genomic foundation models (e.g., Evo2), and using AI-assisted tools to write, debug, and document production-quality code. Drive Cross-Functional Impact: Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into modeling requirements and ensure your solutions are seamlessly integrated into our operational workflows. Uphold Statistical Rigor: Collaborate with fellow quantitative scientists to champion statistical integrity across the organization, from experimental design to model validation and interpretation. Candidate Profile Education: M.S. or Ph.D. in Quantitative Genetics, Statistical Genetics, Plant Breeding, Biostatistics, Operations Research, or a related computational field. Core Experience: 2-5+ years of hands-on experience applying quantitative principles in a research or industry setting. A strong portfolio of projects demonstrating the application of predictive modeling and/or simulation is highly desired. Programming Excellence: Expert-level proficiency in Python and its scientific computing stack (e.g., NumPy, SciPy, Pandas, Scikit-learn). Demonstrable experience building modular, testable, and maintainable code is essential. Hands-on experience using generative AI tools (e.g., GitHub Copilot) to accelerate the development of scientific code. Statistical Modeling Expertise: Deep theoretical and practical understanding of mixed models for genetic evaluation (e.g., GBLUP, ss GBLUP). Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. Familiarity with decision theory and online optimization frameworks (e.g., multi-armed bandits, Thompson sampling) for resource allocation. Experience with or interest in applying genomic foundation models (e.g., Evo2, other LLM-like architectures) to learn from large-scale sequence data. Experience with machine learning algorithms (e.g., XGBoost, Ridge Regression) as applied to genomic data. Collaboration & Communication: A proven ability to work effectively in a cross-functional team. You must be able to translate complex technical and scientific concepts for different audiences and work collaboratively to turn models into real-world impact. Genomic Data Acumen: Experience handling and processing large-scale genomic datasets (e.g., SNP arrays, sequencing data) is required. Bonus Points For: Proficiency in R, particularly for reading and translating legacy statistical models (e.g., brms, sommer, ASReml). Experience with workflow management tools (e.g., Nextflow, Snakemake). Familiarity with cloud computing environments (GCP, AWS) and data warehousing technologies (e.g., BigQuery). Knowledge of polyploid genetics and modeling. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit ************** The anticipated pay range for this role is $130,000 - $160,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location. Notes: If you previously applied for a job at Ohalo, we encourage you to restate your interest in the position by submitting your application. No visa sponsorship is available for this position at this time. No recruiters please.

Job Posting Description Join an interdisciplinary team within Client s CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Required: B.S./B.A. In Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

The Department of Biological Sciences at San José State University invites applications for an Assistant, Associate, or Full Professor in the area of Clinical Laboratory Science. We are a team of dedicated teacher-scholars recognized for our commitment to excellent teaching, engaging students in research projects, and promoting equity, diversity, and inclusion in CLS, Biology, and in STEM disciplines. The incumbent will serve as Director for both the Clinical Laboratory Scientist (CLS) Training Program and the Clinical Genetic Molecular Biologist Scientist (CGMBS) Training Program, and will be expected to teach in these programs in their area of specialty. The Department of Biological Sciences offers degrees in Microbiology, Molecular Biology, Ecology and Evolution, Systems Physiology, General Biology, Marine Biology, and is the home department for both the Clinical Laboratory Scientist (CLS) Training Program and the Clinical Genetic Molecular Biologist Scientist (CGMBS) Training Program. There are approximately 1000 undergraduate majors, 65 Master's students enrolled in Biology, 59 CLS students, and 16 CGMBS students enrolled. Facilities include: a new, state of the art Interdisciplinary Science Building, molecular and microbiology research and teaching labs (BSL2 capable); imaging with confocal laser microscope (Zeiss 700), flow cytometry (FACSCalibur & FACScan); cell culture; Proteomics (QTOF LC/MS/MS, 2D Gel, TYPHOON Imager, and AKTA FPLC systems); anatomy and physiology research and teaching labs; bioinformatics and general computing labs; greenhouses, herbarium, plant growth chambers, and museums. There is technical support for laboratory courses and equipment maintenance. Opportunities for collaboration with biotechnology companies and local research-intensive universities are supported. The Department of Biological Sciences and San José State University value diversity, equity, inclusion, and belonging. Our excellence in research, teaching, and service can only be fully realized by faculty, students, and staff who share our commitment to these values. SJSU enrolls more than 36,000 students, many of whom are historically underserved, and around 45% are first-generation and 38% are Pell-recipients. SJSU is a Hispanic Serving Institution (HSI) and Asian American and Native American Pacific Islander (AANAPISI) Serving Institution. The university's commitment to social justice extends from its vibrant, inclusive campus to an international network of over 275,000 alumni. As such, San José State is committed to increasing the diversity of its faculty so our disciplines, students, and the community can benefit from multiple ethnic and gender perspectives. Successful candidates will demonstrate evidence of a commitment to equity and inclusion through their research, teaching, and/or service. We invite all applicants to include a Statement of Inclusive Excellence (or incorporate it into your cover letter) to share how your lived and professional experiences will contribute to the SJSU community-particularly in relation to student success and inclusive education. A guide to writing this statement can be found at SJSU Inclusive Excellence Statement Guidelines. Required Qualifications Insert required qualifications here. Includes terminal degree requirement and other qualification items. Be specific and clear, carefully considering how these qualifications contribute to student success and how candidates will demonstrate these in their application materials and interviews. Please note that hire decisions must be based primarily on the items denoted as required. Fewer, broader required qualifications lead to more diverse applicant pools. * Doctoral degree in education, microbiology, or a related field. M.S. in biology or a related field may be considered with appropriate experience. * Current CA CLS Generalist license * Current (ASCP or ASCPi) Generalist certification as a medical laboratory scientist * Three years of teaching experience * Knowledge of education methods and administration as well as current NAACLS accreditation procedures and certification procedures * Applicants must demonstrate an awareness of and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience. Preferred Qualifications Priority will be given to candidates who possess one or more of the following: * Expertise or teaching experience in one or more of the following: Hematology, Medical Microbiology, or Immunology * Five years of practical experience in clinical laboratory work * Management/supervisory experience leading and supervising personnel and projects * Budgeting/fiscal experience Key Responsibilities * The successful candidate is expected to manage the operations of the CLS and CGMBS programs, including budget and fiscal activities, evaluation of applications, academic personnel, recruitment of teaching staff, facility coordination, promotion of the program, and curriculum planning and development. * The candidate will ensure accreditation, licensing, safety and risk management requirements are met, update changes in standards for accreditation, and track all required statistics annually for accreditation purposes. * Teaching duties may include hematology, medical microbiology, or immunology modules in the CLS/CGMBS curriculum. * The candidate will participate in shared governance, usually in department, college, and university committees and other service assignments. * The candidate must demonstrate awareness and experience understanding the needs of a student population of great diversity - in age, abilities, cultural background, ethnicity, religion, economic background, primary language, sexual orientation, gender identity, and academic preparation - through inclusive course materials, teaching strategies and advisement. Other Duties Note that all San José State University employees are considered mandated reporters under the California Child Abuse and Neglect Reporting Act and are required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) and CSU systemwide policy, some faculty duties may lead to designation as a Campus Security Authority (CSA). CSAs are required to complete Clery Act training and to immediately report Clery incidents to the institution. Faculty employees must complete CSU employee training as assigned and required based on their role (e.g., Data Security, FERPA, Preventing Discrimination and Harassment, Title IX, Health and Safety). The President may recommend or require compliance with safety measures that decrease the likelihood of COVID-19 transmission or illness and allows the core mission and activities of the campus to continue. Application Procedure Select Apply Now to complete the SJSU Online Employment Application and attach the following documents: * letter of interest * curriculum vitae * Optional statement of inclusive excellence (limit two pages) * Statement of teaching interests/philosophy (limit 2 pages) that describes the applicant's pedagogical approach, teaching experiences, and their view of the role of faculty in student success * Names and contact information for three references who are willing to provide letters of reference upon request. Inquiries may be directed to the Department Chair or Search Committee Chair: Dr. Rachael French (***********************) Conditional Offer The work for this faculty position is located in the State of California and requires commuting to the campus Employment is contingent upon US residence and proof of eligibility to work in the United States. Satisfactory completion of a background check (including a criminal records check) is required for employment. SJSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current employee who was conditionally offered the position. San José State University: Silicon Valley's Public University Located in the heart of Silicon Valley - one of the most innovative regions in the world - San José State University is the founding campus of the 23-campus California State University (CSU) system and the first public university in the West. Recognized as a leading transformative educational institution, San José State is an essential partner in the technological, economic, cultural, and social development of Silicon Valley, the Bay Area, and California. SJSU is a top-200 school nationally in research funding and second highest in research productivity in the CSU system. Cutting-edge research, world-class scholarship, student-centered learning, diverse communities, and commitment to social justice, allow SJSU to provide life-changing opportunities and advance the public good locally and globally. Equal Employment Statement San José State University prohibits discrimination on the basis of Age, Ancestry, Caste, Color, Disability, Ethnicity, Gender, Gender Expression, Gender Identity, Genetic Information, Marital Status, Medical Condition, Military Status, Nationality, Race, Religion, Religious Creed, Sex, Sexual Orientation, Sex Stereotype, and Veteran Status. This policy applies to all San José State University students, faculty, and staff as well as University programs and activities. Reasonable accommodations are made for applicants with disabilities who self-disclose. Campus Security and Fire Safety Notification Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the Annual Security Report (ASR) is also now available for viewing at **************************************************************** The ASR contains the current security and safety-related policy statements, emergency preparedness and evacuation information, crime prevention and Sexual Assault prevention information, and information about drug and alcohol prevention programming. The ASR also contains statistics of Clery crimes for San José State University locations for the three most recent calendar years. A paper copy of the ASR is available upon request by contacting the Office of the Clery Director by phone at ************ or by email at ************************. Pursuant to the Higher Education Opportunity Act, the Annual Fire Safety Report (AFSR) is available at ******************************************************************* The purpose of this report is to disclose statistics for fires that occurred within SJSU on-campus housing facilities for the three most recent calendar years, and to distribute fire safety policies and procedures intended to promote safety on Campus. A paper copy of the AFSR is available upon request by contacting the Housing Office by phone at ************ or by email at **********************. Advertised: Aug 25 2025 Pacific Daylight Time Applications close:

23andMe has amassed an incredible dataset for epidemiology research. Our postdoctoral fellowship program provides a fully funded 3 year opportunity to analyze and publish findings from cutting-edge explorations of this unique database. We offer dedicated mentorship, opportunities to pursue scientific research, and a chance to explore a career in industry while building a publication track record. 23andMe is seeking a postdoctoral candidate to help shape our autism research strategy. The goals of the position will be to develop and execute on a research strategy focused on uncovering the complexities of autism, enhancing diagnosis and support, and improving health outcomes for autistic people and their families. The postdoctoral role will engage with KOLs and Autistic Advocacy Groups in order to shape the specific research goals, and work towards executing on those initiatives. The successful candidate in this role will be responsible for launching additional data collection to better understand autism-related phenotypes, developing an understanding of the epidemiology of health outcomes in autistic individuals, and publishing the results of this work. This is a unique opportunity to build a better understanding of the multifaceted nature of autism. Who We Are 23andMe Research Institute's ("23andMe") mission is to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what's possible to help turn genetic insight into better health and personal understanding. As a company committed to advancing autism research, we recognize the unique perspective neurodivergent individuals bring to this field. 23andMe research participants elect to participate in research supervised by an independent Institutional Review Board (IRB). We strongly encourage applications from autistic people. What You'll Do * Engage KOLs and Advocacy Groups to help us achieve our goal of advancing Autism research, while ensuring ethical research conduct and community engagement * Advocate and generate positive scientific interest and engagement in autism research, using 23andMe's voice to further facilitate and communicate our Research and commitment to ethical practices and standards. * Develop and launch a data collection strategy to better understand factors contributing to autism diagnosis. * Develop and execute an analysis plan using the 23andMe database to better understand health outcomes in autistic individuals * Communicate and publish results of the work. * Interact with other 23andMe scientists throughout your project, team meetings and seminars, and learn about the wide variety of research at 23andMe * Commit to a three-year term What You'll Bring * PhD in Epidemiology, Genetic Epidemiology, Statistics, Statistical Genetics, Bioinformatics, Data Analytics or a related field * Demonstrated fluency with tools and methods for analyzing large-scale datasets Strongly preferred * Background in Autism research * Strong publication record in academic journals * Proficiency in Python, R or C/C++ Cover Letter: Along with your CV, please provide a cover letter that includes a summary of your relevant research experience and interests. About Us 23andMe, headquartered in California, is a leading consumer genetics and research company. The company's mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world's largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at ************************* At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you. Pay Transparency 23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. San Francisco Bay Area Base Pay Range: $90,000

The Division of Medical Genetics in the Department of Pediatrics at Stanford University seeks a board certified/ eligible Medical Geneticist to join the Department and Division as an Assistant Professor, Associate Professor or Professor in the University Medical Line or as a Clinician Educator. Candidates must hold an MD or equivalent degree with board eligibility or board certification in medical genetics and genomics and have medical licensure in California by starting date. The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill. The major criterion for appointment as Clinician Educators is excellence in the overall mix of clinical care, teaching, administrative and/or scholarship appropriate to the programmatic need the individual is expected to fulfill. Faculty/Academic rank and line will be determined by the qualifications and experience of the successful candidate. We expect the successful candidate to participate in the care of patients under the care of the medical genetics service, biochemical genetics service and the perinatal genetics service. The candidate will be involved in formal and informal teaching of Medical Genetics residents, residents and fellows in other specialties, medical students and other graduate students. To be considered a candidate in the University Medical Line the successful candidate must have a focused research interest and a record or potential of scholarly accomplishment. For candidates holding certification in a specialty in addition to medical genetics, a secondary appointment in an additional Department may be possible. The activities of the Division/Department are diverse and include participation in the education of medical students, medical genetics residents and students in the Masters of Human Genetics and Genetic Counseling Program. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu . The university's central functions of research and education depend on freedom of thought, and expression. The Department of Pediatrics, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values. How to apply: Please submit a CV and cover letter with an optional discussion of how your work and experience fosters additional dimensions to the university's mission and values. For questions, please contact: Dr. Michael Rosen, MD, MSCI, Search Chair c/o Stephanie Martinez (email: *********************) The expected base pay range for this position is: Assistant Professor Rank: $214,000-$227,000 Associate Professor Rank: $245,000-$258,000 Professor Rank: $291,000-$321,000 This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

AI Research Scientist - Diffusion Models & Quantum Algorithms About the Company Our client is an are an early-stage, well-funded deep-tech company building next-generation quantum computing hardware tightly coupled with advanced AI algorithms. Our team works across the full stack-from quantum hardware and error correction through to quantum and probabilistic algorithms. They are currently expanding our presence in San Francisco, where a new research lab is being established to focus on AI and quantum algorithms, working in close daily collaboration with an existing core research team in the Midwest. The company is under a year into its current form, scaling rapidly, and led by founders with strong academic and industry research backgrounds. The Opportunity We are hiring an AI Research Scientist to lead foundational research at the intersection of: Diffusion / probabilistic generative models, and Quantum computing and quantum algorithms What You'll Work On 1. Accelerating diffusion models Design and implement methods to accelerate training and inference for diffusion and probabilistic generative models Explore mappings from classical acceleration techniques (e.g. ODE / solver-based methods such as DPM-Solver) to quantum algorithms Build and benchmark “drop-in” quantum-inspired or quantum-native replacements for components of diffusion pipelines 2. Noise, probability, and quantum effects Investigate how quantum noise can be treated as a feature rather than solely a limitation Study noise distributions in diffusion processes and how quantum noise differs from classical noise Identify application domains where quantum sampling or noise properties may provide unique advantages 3. Inference & systems optimization Develop inference optimization strategies that generalize across GPUs, TPUs, and emerging hardware Build and maintain robust research codebases for diffusion models Evaluate approaches with clear quantitative metrics (speed, quality, cost, scaling behavior) 4. Cross-stack collaboration Work closely with quantum hardware and algorithms researchers across sites Translate between AI/diffusion requirements and quantum hardware constraints Help define abstractions and interfaces that expose new hardware capabilities to AI practitioners What We're Looking For We value depth of thinking, research ownership, and technical range over any single credential. Required experience Deep experience in diffusion / probabilistic generative models or quantum algorithms, with strong interest in the other Proven research ability, demonstrated through publications, preprints, technical reports, or equivalent output Strong coding skills (e.g. Python; PyTorch, JAX, or TensorFlow) and comfort with modern ML stacks Ability to independently: Comfort moving between theory and practice (math, algorithms, and production-quality research code) Experience working with modern accelerators (GPUs required; TPUs or other stacks a plus) Nice to have Hands-on work with diffusion models (image, video, text, or scientific domains) Experience with ODE/SDE-based samplers or inference acceleration techniques Background in quantum circuits, quantum error models, or NISQ vs. fault-tolerant regimes Experience on inference, optimization, or efficiency teams for large models Prior collaboration with quantum ML or quantum information research groups Location & Working Model San Francisco, CA (hybrid; 3-4 days onsite) In-person days are coordinated to maximize collaboration Frequent interaction with the core research team in the Midwest via daily syncs and periodic visits

About the Role Our client - one of the most ambitious AI research labs is hiring ML Research Scientists, Cheminformatics! With offices based in California and New York, this team is unlocking groundbreaking therapies for patients with severe diseases. They work at the intersection of machine learning, physics, and computational chemistry to advance the development of small molecule drug discovery. Backed by top investors and founded by ex-Google/Stanford Scientists, they are scaling their Cheminformatics team. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs - Google/Meta/OpenAI/Stanford/Harvard/MIT Massive Compute - Unparalleled access to cutting-edge infrastructure Research - this is about making fundamental advances in deep learning, representation learning, and generative models. Developing SOTA models within active drug programs, taking the lead on model validation, deployment to drive the discovery of new medicines Real-World Impact - Your work won't sit in a paper; it will be deployed in groundbreaking AI systems Who We're Looking For: We're seeking top-tier ML research scientists, Cheminformatics with a strong track record of applying machine learning methods to advance small molecule drug discovery. Your Responsibilities: Cheminformatics expert skilled in molecular data and tools like RDKit and OpenEye. Experienced in experimental drug discovery assays and CADD workflows, from docking to ADME prediction. Proficient data scientist and applied ML engineer, fluent in Python, scikit-learn, and PyTorch. What We're Looking For: PhD in Cheminformatics, Computational Chemistry, Computer Science Expert in advanced modelling techniques, including GNNs, multitask modelling, active learning, and Bayesian optimisation. Experienced in large-scale data management, SQL, data pipelines, and robust approaches to molecule featurisation and model validation. Locations: San Francisco, New York City Package: Salary up to $350,000K + benefits and equity options. Ready to shape the future of AI? Apply now and join a team redefining intelligence.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel. What You'll Do You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions: Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations. Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas. Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies. Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution. Experience We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies. Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026 Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations Exceptional written and verbal communication skills with the ability to influence both peers and leaders Experience in B2B marketing, GTM strategy, or marketing operations preferred Proven ability to lead cross-functional initiatives and influence senior stakeholders. Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $87,300 -- $167,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $115,500 - $167,250 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice Feb 27 2026 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

+ The team consists of computational and experimental scientists. The client is seeking a Research Associate with a background in analytical chemistry for a contract position. **Responsibilities** + Prepare samples for and operate HPLCs (High performance liquid chromatography) and GCs (Gas chromatography), generating reports used by the wider team. + Assist in the development of new HPLC/GC based analytical methods. + Assisting with general laboratory maintenance, including both HPLC and GC repairs and maintenance. + Assist protocol development for a metabolomic pipeline, including sample processing and extractions. + Working closely with a multidisciplinary team to execute microbiology measurements. **Mandatory:** + 2 years or more of relevant research experience. + Hands-on experience characterizing small molecules by HPLC (High performance liquid chromatography) or GC (Gas chromatography) and generating reports for broader team consumption. + Experience maintaining HPLCs or GCs and keeping them in good working order. + Experience with performing general laboratory duties such as preparing media reagents, and basic maintenance of equipment. **Skills:** + Analytical Chemistry + HPLCs (High performance liquid chromatography) + GCs (Gas chromatography) + Research **Education:** + BSc degree in chemistry, biochemistry, or similar. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Division of Medical Genetics in the Department of Pediatrics at Stanford University seeks a board certified/ eligible Medical Geneticist to join the Department and Division as an Assistant Professor, Associate Professor or Professor in the University Medical Line or as a Clinician Educator. Candidates must hold an MD or equivalent degree with board eligibility or board certification in medical genetics and genomics and have medical licensure in California by starting date. + The major criteria for appointment for faculty in the **University Medical Line** shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill. + The major criterion for appointment as **Clinician Educators** is excellence in the overall mix of clinical care, teaching, administrative and/or scholarship appropriate to the programmatic need the individual is expected to fulfill. Faculty/Academic rank and line will be determined by the qualifications and experience of the successful candidate. We expect the successful candidate to participate in the care of patients under the care of the medical genetics service, biochemical genetics service and the perinatal genetics service. The candidate will be involved in formal and informal teaching of Medical Genetics residents, residents and fellows in other specialties, medical students and other graduate students. To be considered a candidate in the University Medical Line the successful candidate must have a focused research interest and a record or potential of scholarly accomplishment. For candidates holding certification in a specialty in addition to medical genetics, a secondary appointment in an additional Department may be possible. The activities of the Division/Department are diverse and include participation in the education of medical students, medical genetics residents and students in the Masters of Human Genetics and Genetic Counseling Program. _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact_ _disability.access@stanford.edu_ _._ _The university's central functions of research and education depend on freedom of thought, and expression. The Department of Pediatrics, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values._ **How to apply:** Please submit a CV and cover letter with an optional discussion of how your work and experience fosters additional dimensions to the university's mission and values. **For questions, please contact:** Dr. Michael Rosen, MD, MSCI, Search Chair c/o Stephanie Martinez (email: *********************) _The expected base pay range for this position is:_ _Assistant Professor Rank: $214,000-$227,000_ _Associate Professor Rank: $245,000-$258,000_ _Professor Rank: $291,000-$321,000_ This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits (***************************************************** , including housing assistance (************************** , please contact the hiring department. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.