Senior scientist jobs in Santa Cruz, CA - 1,163 jobs

Employment Type Full time Department AI About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Therapeutics, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various levels of seniority: Senior, Staff, and Principal. You will Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems. Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas. Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art. Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform. Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation. You are A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods). An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion. A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models. A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary - only willingness to learn. A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. Nice to have's PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record. Hands-on experience with Pytorch, Pytorch Lightning, Ray Distributed Training, Pytorch Geometric, etc. Experience in distributed training and inference of large models on GPU clusters. Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data. Compensation, Benefits, and Perks Competitive compensation package that includes salary and equity. Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). 401(k) plan. Open (unlimited) PTO policy. Free lunches and dinners at our offices. Paid family leave (maternity and paternity). Life and long- and short-term disability insurance. About Genesis Therapeutics Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules. Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets. The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024). We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

The role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design. At BigHat Biosciences, our full-stack antibody drug development platform uses ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes the development of complex, next-gen therapeutics ‘trivially parallelizable', at a pace that only accelerates as we develop better ML tooling. You're not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you'll apply your world-class ML skillset to refine and expand this state‑of‑the‑art protein engineering platform. Success will mean not only hands‑on methods development, but helping shape the direction for future ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics. Key Responsibilities Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies. Identify opportunities for improvement in our ML tooling, and help to set strategy for ML research, driven by a strong high-level understanding of real-world drug development challenges Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets. Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties. Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat. Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering. Provide technical guidance and mentorship to other ML and data science FTEs and interns. Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs. Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models to ongoing drug development programs. Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat's platform, and plan and prioritize ML methods development accordingly. Skills Knowledge and Expertise PhD in ML/CS or in the hard sciences with 5+ years experience developing and applying novel ML methods and a strong quantitative background. Publications in major ML conferences and/or leading journals, or extensive demonstrable track record developing and applying novel ML in industry. Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices. Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams. Enjoys a fast-paced environment and excels at executing across multiple projects. Familiarity with the current state-of-the-art in ML-driven protein engineering Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS. Total Rewards The salary estimated for this position is $233,000 - $266,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer. What BigHat Offers: Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived) Dental, and vision coverage through Guardian Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more 401(k) with company match DTO, two weeks of company-wide shutdown, and 12 company holidays Paid parental leave #J-18808-Ljbffr

A biotechnology firm in San Jose is seeking a motivated Sr. or Principal Scientist to join the Histopathology Lab. This role involves designing and executing histopathology workflows to evaluate oncology targets. You'll need extensive hands-on experience in histology and immunohistochemistry, with responsibilities including assay development and collaboration with teams. The company offers comprehensive benefits including medical insurance, 401(k), and paid time off. #J-18808-Ljbffr

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. What You'll Do Design and implement technologies that align our models to GM's mission. Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability. Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models. Conduct research and stay updated on the latest advancements in AI frameworks and libraries. Lead projects from ideation to deployment, documenting learnings and best practices along the way. Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement. Your Skills & Abilities Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact. Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines. Proficiency in frameworks such as PyTorch and languages such as python. Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams. Strong data processing skills using tools like Numpy, Pandas, and Apache Spark. Excellent communication skills to effectively collaborate with diverse teams and stakeholders. Experience deploying foundation models into production environments and understanding the end-to-end process. Previous experience in Robotics or Autonomous Driving. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #J-18808-Ljbffr

A leading technology company is seeking a Principal Applied AI Scientist to define AI and foundation models' strategic vision, lead groundbreaking research initiatives, and mentor technical talent. Candidates should have a PhD in Computer Science, 8+ years of industry experience, and proficiency in Python and deep learning frameworks. This role emphasizes collaboration, innovation, and the application of advanced AI for real-time data processing. Competitive salary and comprehensive benefits offered in a flexible work environment. #J-18808-Ljbffr

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

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

Job Title: Scientist II Duration: Until 01/26/2027 Required Skills Bachelor's degree in Molecular Biology, Cellular Biology, Microbiology, or a related field with 5+ years of relevant experience, or Master's degree in Molecular Biology, Cellular Biology, Microbiology, or a related field with 3+ years of relevant experience Experience with Aseptic techniques and Bacterial and/or Mammalian cell culture. Experience with Cloning techniques, including Plasmid design and preparation, restriction enzyme digestion, ligation, bacterial transformation, and Downstream processing. Experience performing Nucleic Acid Extractions (DNA/RNA), quantification, amplification Experience with LIMS software, electronic lab notebooks (eLN), and JMP is preferred

We're hiring teammates at the intersection of AI/ML and chip design-people who love building, move fast, and care about doing excellent work. About the role You'll work at the boundary between our AI and hardware efforts to build systems that make chip design workflows better. You will: · Build and iterate on data generation (including synthetic data) for chip-design tasks · Train ML models · Design robust evaluation methodology · Integrate with hardware workflows · Collaborate closely with engineers across AI + hardware + software, and own projects end-to-end Locations: Bay Area (US) and Toronto (Canada) Work style: In-person (both offices have a vibrant, builder-heavy culture) About you You have baseline knowledge in both domains: 1. AI/ML: familiarity with deep learning + data/model development 2. Chip design: basic understanding of circuit design and SystemVerilog implementations And you have deep strength in at least one of: · Data pipelines / data engineering · Reinforcement learning (RL) · UVM · Formal verification · SystemVerilog (advanced) You're collaborative, take initiative, and can lead when needed. We care that you've shown you can do exceptional work. Examples: · You built a product or system that people used · You made major contributions to a respected codebase / repo · You've done meaningful work in a high-performing environment (such as top companies) · You shipped a standout project end-to-end · You have strong publications-or similarly rigorous proof of ability · Or anything else that clearly demonstrates you can execute at a very high level We love building. We want people who are passionate about their craft. We value a talent-to-ego ratio > 1. About us You'll join a highly collaborative team working on a difficult, exciting problem. Collectively, our team has: · Founded startups and scaled them to IPO · Led development of products used by millions · Earned 23,000+ scientific citations · Held leadership roles at places like Google, NVIDIA, Amazon, Synopsys, and more · Won medals in international science Olympiads If you're excited to tackle hard problems and build real systems, let's connect.

We are seeking an Associate Scientist to join Client's In Vivo Pharmacology team in Foster City and more specifically the group responsible to conduct ex vivo analyses related to in vivo studies in mice. The candidate will join an established group, playing a key role in providing a mechanistic understanding for in vivo pre-clinical studies in support of multiple programs utilizing engineered human chimeric antigen receptor T cells (CAR T cells). Responsibilities: · Characterization of immune parameters such as cell expansion and phenotype, from ex vivo blood samples from pre-clinical mouse studies with engineered human CAR T cells · Process and analyze ex vivo blood samples through flow cytometry, molecular biology and other analytical techniques · Check antigen expression by flow cytometry of tumor cell lines for use in in vivo studies · Work collaboratively in a cross-functional team environment · Present and participate in project team meetings and cross-departmental team meetings · Share core values such as passion, teamwork, integrity and trust Basic Qualifications: Master's Degree and 2+ years of scientific experience OR Bachelor's Degree and 4+ years of scientific experience OR AA Degree and 5+ years of scientific experience OR High School Degree and 6+ years of scientific experience Preferred Qualifications: · MS or BS in Biology or related discipline · 3+ years of experience with multi-color flow cytometry and complex fluorochrome-conjugated antibody panels · Immunology background, with experience in phenotypic analysis of multiple human immune cell populations and markers of activation/exhaustion · Experience in data analysis software including FlowJo, GraphPad Prism and BD FACSDiva · Experience in additional molecular biology techniques such as dd PCR · Demonstrated ability to independently conduct analyses while working efficiently as part of a team · Ability to multi-task, perform work with a high degree of integrity and attention to detail, and be part of an exciting fast-paced scientific environment · Strong organizational and time-management skills, thorough record keeping skills (documentation and electronic lab notebook, Benchling), strong ability to troubleshoot independently and to provide high-quality results through critical analysis and interpretation, excellent interpersonal, verbal and written communication skills

Senior Scientist Santa Clara, CA Pay rate: $40+ an hour Our clients long-term vision is to use digital technology as part of a holistic approach to surgery across the episode of care to enhance surgical efficiency, promote better clinical outcomes and increase patient satisfaction. This position will serve as a scientific contributor for the development and execution of preclinical evidence strategies necessary to competitively position a product for domestic and international regulatory and clinical acceptance. Responsibilities Include · Leads and supports product evaluations involving animate, inanimate, and cadaveric models · Performs research supporting development of products or procedures in minimally invasive robotic surgery · Assisting or conducting investigations for medical device development and preclinical evidence generation aligned to R&D, Regulatory, and Commercial needs · Coordinate and ensure accurate documentation of laboratory activities · Conduct lab activities in compliance with USDA, AAALAC, and Animal use policies · Ensure compliance with 21 CFR Part 58 - Good Laboratory Practices · Contribute and support the design of appropriate studies to meet premarket and post market needs · Design, plan and execute preclinical animal studies for the assessment of safety, performance, and effectiveness Act as study coordinator in support of the Study Director Act as Study Director projects of varying levels of complexity · Assess, communicate, and manage the risks associated to the preclinical evaluation of products. · Assist in appropriate interpretation and dissemination of all evidence generated, based on evidence dissemination strategy, including study reports, abstracts, manuscripts, etc. · Demonstrate the ability to work effectively in a team-oriented environment that embraces ownership and accountability for innovation, change, risk, and flexibility · Build successful relationships internally and develop partnerships with key business partners Qualifications · A minimum of a bachelor's degree in Biological Science or a related discipline is required. Experience and Skills: · A minimum of 5 years of related scientific / technical experience within preclinical research is required. · Experience in preclinical science and processes along with an understanding of medical device development processes, related healthcare market environment, clinical trends, and preclinical regulations is required. · Track record of contributing to preclinical programs on time, within budget and in compliance to SOPs and regulations is required. · Experience working in a GLP environment and direct experience executing preclinical studies · Understanding of good documentation practices · Familiarity with animal welfare regulations and IACUC Preferred: · Experience working in Medical Devices or Robotics is preferred · Experience working with large animal models is desired · Experience in support of global regulatory submissions for medical devices, biologics, or drugs (including PMA/BLA/NDA and/or their global counterparts) is preferred.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are 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.

About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Therapeutics, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a strong team player, working in close partnership with our exceptional engineers and drug discovery experts to bring complex ideas to life. We also want you to be a voice in the scientific community. We will actively support and champion your efforts to publish some research breakthroughs in premier ML venues such as NeurIPS, ICML, and ICLR. Positions are available at various levels of seniority: Senior, Staff, and Principal. You will Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems. Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas. Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art. Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform. Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops. Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation. You are A deep learning expert with a portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods). An independent, first-principles thinker with a strong sense of ownership over your research projects and a drive to see them through to completion. A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models. A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries. No prior experience in biology or chemistry is necessary - only willingness to learn. A true team player with strong communication skills who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined. Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite. Nice to have's PhD in machine learning, computer science, other computational sciences or equivalent research experience, demonstrated by a strong publication record. Hands-on experience with PyTorch, PyTorch Lightning, Ray Distributed Training, PyTorch Geometric, etc. Experience in distributed training and inference of large models on GPU clusters. Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data. Compensation, Benefits, and Perks Competitive compensation package that includes salary and equity. Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees). 401(k) plan. Open (unlimited) PTO policy. Free lunches and dinners at our offices. Paid family leave (maternity and paternity). Life and long- and short-term disability insurance. About Genesis Therapeutics Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules. Our team has created the industry\'s most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets. The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation and Gilead Sciences. We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA\'s VC arm), BlackRock, and Menlo Ventures. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

An innovative biotech company located in San Mateo is looking for a Principal Machine Learning Scientist to advance therapeutic antibody design using cutting-edge ML technologies. The successful candidate will have a PhD and extensive experience in developing ML methods. Excellent mentorship opportunities and collaborations with diverse teams awaited. A competitive salary range is offered alongside comprehensive benefits. #J-18808-Ljbffr

About Oxford BioTherapeutics Oxford Biotherapeutics is a clinical-stage biotechnology companyfocusing on the development of antibody therapeutics for the treatment of cancer.OBT'sOGAP-verify platform is the world's largest, cancer specific, membrane protein library, directly measuring plasma membrane protein expression in patienttumors. OGAP is used to identify novel, highlytumorspecific antigens for novel first-in-class ADC, T-cell Engager (TCE) and Chimeric Antigen Receptor (CAR-T) targets. Our lead asset, OBT076, is an Antibody Drug Conjugate (ADC) in Phase 1b clinical development. Our clinical and pre-clinical pipeline of novel biologics is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such as Roche, GSK, and Zymeworks. For further information, please see ***************************** Job Description We are seeking a motivated Sr. or Principal Scientist to join the Histopathology Lab within the Target Validation team in San Jose, CA. The role involves independently designing, troubleshooting, and executing histopathology workflows to evaluate oncology targets, and presenting findings to teams and partners. You will support target validation through IHC, IF, ISH, slide scanning, image analysis, and assay optimization, with a strong focus on IHC assay development, antibody screening, tissue processing (FFPE/FF), sectioning, and tissue-based assay implementation. Hands-on histology and oncology knowledge is required. Responsibilities Design and optimize chromogenic IHC assays using FFPE/FF samples; confirm specificity using orthogonal methods (e.g., ISH). Lead histopathology support for cancer target programs, including materials management, hands-on lab work, mentorship of junior staff, and timeline delivery. Present results, gather feedback, and implement next steps. Use literature and public datasets to guide assay development and target validation. Process tissues and cell pellets into FFPE/frozen blocks; section and stain samples using Leica Bond autostainers. Digitize slides, analyze results, and document data in ELN and presentations. Perform routine lab tasks: sample archiving, equipment maintenance, consumables ordering, logistics. Support tissue database and digital data organization. Required Qualifications and Skills PhD + 4 years, or Master's + 6 years, or Bachelor's + 8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting. Extensive (>3 years) hands-on experience developing, utilizing, and interpreting immunohistochemistry assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides. Extensive (>3 years) hands-on experience in laboratory histology, including preparation of tissue sample into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC and ISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays. Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays. Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development. Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues. Preferred Qualifications and Skills Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus. Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities. Relevant experience working with service providers and CROs in the histology space. Excellent organization skills, and evidence of previous success in a growing and fast-paced work environment. Experience regularly presenting IHC assay results in group settings. Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities. Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. Benefits Offered Medical,dentalandvisioninsuranceforemployeeanddependents FSA(FlexibleSpendingAccount) STD,LTD,BasicLifeandAD&DInsurance,SupplementalLife 401(k) Plan 120hoursofPaidTimeOff 5sickdaysperyear 11holidays EmployeeReferralBonusProgram Annualbonusprogram Newhirestockoptions Equal Opportunity Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status. All qualified applicants will receive consideration for employment. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. #J-18808-Ljbffr

Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real‑world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems to solve manipulation, autonomy, and simulation challenges at an industrial scale. As a Principal Applied Scientist, you will define technical direction, create breakthrough robot learning methodologies, and drive the execution of large‑scale initiatives that deliver end‑to‑end manipulation policies. You will architect new model families, lead cross‑functional research efforts, and guide teams in transitioning scientific advances into reliable robotic capabilities deployed in real systems. What You'll Do Define the research strategy and technical roadmap for embodied manipulation policies that span perception, training, control, and deployment. Invent or advance robot learning architectures (e.g., diffusion‑based policies, ACT‑style agents, multimodal embodied transformers) to enable robust dexterous manipulation. Architect end‑to‑end policy systems from multimodal sensing to hardware control, across simulation and real environments. Establish standards for data generation, demonstrations, simulation fidelity, evaluation, and sim‑to‑real adaptation for manipulation tasks. Guide cross‑functional efforts to scale robot learning from prototypes to production, including reliability constraints, observability, and performance guarantees. Mentor scientists and engineers, influence hiring, and shape research priorities within the organization. Represent GM in external communities (e.g., CoRL, RSS, ICRA, NeurIPS), pursue collaborations, and drive thought leadership in embodied AI. Required Qualifications PhD in a relevant STEM field, with a recognized track record in robotics, robot learning, or embodied AI. Significant experience designing and deploying robot learning systems on physical hardware, including manipulation tasks and real‑time policy execution. Expertise in modern AI architectures (Transformers, diffusion models, VLM/VLA agents, imitation learning, offline RL) and ability to extend them to new embodied scenarios. Mastery of PyTorch, including model internals, performance optimization, distributed training, and debugging complex failures. Hands‑on experience with ROS/ROS2, motion planning stacks, and integration of ML components into robotic platforms. Evidence of high‑impact contributions: top‑tier publications, influential open‑source efforts, field deployments, or foundational algorithms. Proven ability to lead ambiguous multi‑disciplinary research programs and deliver tangible embodied AI outcomes. Preferred Qualifications Experience establishing research agendas in robot learning or dexterous manipulation that resulted in widely adopted systems or protocols. Leadership of projects involving perception → policy → control integration, staged training, or multi‑robot deployment. Deep expertise in at least one advanced area: Dexterous manipulation / affordance‑driven action Multi‑step task sequencing / long‑horizon reasoning Offline RL or imitation learning at scale Physics‑informed or tactile‑informed policies Foundation models for embodied agents Strong industry or academic presence: invited talks, program committees, major open‑source contributions, or collaborations with robotics research institutions. Why Join Us You will shape how robots behave in the physical world-designing the foundational learning systems that enable dexterous, autonomous manipulation across GM's future robotics platforms. Location This role is categorized as hybrid. The successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business. Compensation Compensation information is a good‑faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 259,000 to 320,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Relocation This job may be eligible for relocation benefits. #J-18808-Ljbffr

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.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are 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.