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We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. Research Engineer / Scientist, Alignment Science. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on

The Field Service Engineer (FSE) provides technical service and support on equipment within the company, ISO, FDA, and budgetary guidelines with the objectives of minimizing customer downtime and generating revenue opportunities for Bruker Spatial Biology. Hands‑on field service experience prefera

A biotech firm in South San Francisco is seeking a full-time Data Scientist specializing in RNA biology to enhance their AI-driven drug discovery platform. You will collaborate with an interdisciplinary team to develop ML methods for RNA structure prediction and lead the curation of datasets for mod

Job DescriptionAbout us At Shiru we believe that food should be delicious and nourishing without negatively affecting our planet. Acknowledging our growing global population as well as the imminent effects of climate change, Shiru’s mission is to create better protein ingredients that will catapult us into a sustainable food future. With our mission in mind, Shiru makes high quality, functional food proteins through better leveraging our precious environmental resources. To do this, we employ technologies originally created to solve problems in adjacent industries, including computational biology, machine learning, and industrial fermentation and bioprocessing. We apply computational intelligence to find the most functional natural food proteins in the world, harnessing the inherent ability of microflora to produce them. We then partner with food and beverage companies to incorporate these unique protein ingredients into everyday products. Shiru is now expanding our team of dedicated professionals across multiple disciplines to make enhanced protein ingredients for a better world. Our ask Don’t see a specific job that matches your qualifications? While all of our active openings are listed, feel free to apply here and detail the type of job you are looking for. Please include your resume and a cover letter that explains why your skillset and experience would be an asset to Shiru - we'll be opening several new roles soon and searching for great talent.At Shiru, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. We’re expecting your skills and passion to stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. Please join us in this singular opportunity to create the future of food! Shiru is an equal opportunity employer who values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Shiru offers competitive compensation and employee benefits along with an attractive equity package commensurate with candidate qualifications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our client, a world leader in diagnostics and life sciences, is looking for an "Bioinformatics Associate II” based out of South San Francisco, CA. Hybrid Role 1 days onsite Job Duration: Long Term Contract (Possibility Of Further Extension) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Job Description: We are seeking a highly motivated and skilled Bioinformatician to join our team. The successful candidate will play a critical role in developing, implementing, and maintaining robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data. This position requires strong expertise in either Python or R programming for data manipulation, statistical analysis, and visualization, applied to various genomics research projects. You will work closely with molecular biologists, geneticists, and computational scientists to support our ongoing research and operations efforts. Key Responsibilities: • Pipeline Development: Design, develop, test, and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data., • Data Analysis: Perform advanced statistical and computational analyses of genomics data, including variant calling, differential gene expression, pathway analysis, genomic annotation, and custom analyses tailored to research questions., • Scripting & Programming: Write efficient, well-documented, and reproducible code primarily in Python or R for data cleaning, transformation, integration, and visualization., • Algorithm Implementation: Evaluate, implement, and adapt existing bioinformatics tools and algorithms, as well as contribute to the development of novel methods., • Collaboration: Work collaboratively with wet-lab scientists to understand experimental designs, troubleshoot data quality issues, and interpret biological findings., • Troubleshooting & Optimization: Identify and resolve technical issues within pipelines and analyses, optimize computational efficiency, and ensure data integrity. Required Qualifications: • Training in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field., • Proven strong programming skills in either Python or R is essential. (Please specify which language you are most proficient in and provide examples of your work if possible)., • Solid understanding of next-generation sequencing (NGS) data types, experimental design, and common bioinformatics analysis workflows., • Experience with biological databases and public data repositories (e.g., NCBI, Ensembl, UCSC Genome Browser, TCGA, GTEx). Familiarity with version control systems (e.g., Git). Preferred Qualifications : • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity)., • Proficiency with workflow management systems (e.g., Snakemake, Nextflow, Cromwell/WDL)., • Experience with statistical modeling and machine learning techniques applied to biological data., • Knowledge of specific sequencing applications relevant to our research (e.g., single-cell genomics, long-read sequencing, epigenomics)., • Experience working in a Linux/Unix environment. Familiarity with high-performance computing (HPC) clusters. If interested, please send us your updated resume at /

A pioneering life sciences firm in San Francisco is seeking a Director/Senior Director for AI in Life Sciences. The ideal candidate will possess a PhD, deep expertise in computational biology, and a proven record of innovation and collaboration. Competitive compensation includes a salary range of $3

We are seeking a Technical Product Manager (TPM) who can bridge the gap between our clients and internal teams and drive world-class product development. A strong technical background in biology (e. Develop a strong technical perspective on complex biomolecular workflows and data, ensuring product d

Senior/Principal Scientist, Program Biology and Pharmacology (contract). You will also be instrumental in supporting the advancement of drug candidates from early-stage discovery biology into development candidate selection and in vitro mechanism of action studies. PhD or equivalent industry experie

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. Share a link to the piece of work you've done that is most relevant to the Alignment Science team, along with a brief description of the work and its rel

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description The Director of Enterprise AI Strategy and Operations will be a critical leader that helps develop, champion and execute on AbbVie’s enterprise AI strategy, governance, and priority AI use cases across functions, including drug discovery, clinical development, operations, and commercial. This role serves as a strategic thought partner that develops the enterprise AI strategy, supports prioritized AI initiatives, plays a key role in coordinating external advisory board, and driving operational excellence in line with business objectives and patient impact. This Director is a deep AI/ML life sciences expert that will collaborate with cross-functional leaders to push the thinking and establish key presence among AI leaders at AbbVie. Key Responsibilities: * Enterprise AI Strategy: Develop and execute enterprise AI strategy, partnering with Director II to ensure alignment with AbbVie’s business objectives. * Functional and Business Unit AI Strategies: Support functional and business unit leaders in developing and continually refreshing their AI strategies, incorporating the latest innovations in AI and identifying opportunities where AI can help accelerate strategic business priorities. * External AI Advisory Board: Oversee AbbVie’s external AI advisory board, co-leading across functions and BUs to collate key topics and questions for advisory board meetings, gathering key insights to be applied throughout enterprise and functional/BU AI strategies with senior leadership * Deep AI Expertise: Apply expertise in Machine Learning, Generative AI, Agentic AI, and Physical AI to contribute to innovative solutions for biopharma applications. * Operational Excellence: Assist in establishment and execution of operational frameworks and governance, ensuring cross-functional communication and integration across business units * Measurement and Reporting: Monitor, analyze, and report on the progress and impact of AI initiatives. * Team Leadership / People Management: Lead teams through ambiguity and change, inspiring resilience and continuous improvement. * Support Cross-Cutting Enablers: Provide thought leadership and support in cross-cutting capabilities including but not limited to technology enablement, responsible AI, and data readiness. Qualifications Education & Strategy Experience Requirements: * Degree fields: Computer Science, Statistics, AI/ML, Physics, Math, Chemistry, Bioinformatics, Computational Biology, or similar * Bachelor’s: 10+ years in strategy including 3+ years of work at a life sciences, big tech, start-ups, or a top consulting firm, OR * Master’s: 9+ years in strategy including 3+ years of work at a life sciences, big tech, start-ups, or a top consulting firm, OR * PhD: 5+ years in strategy including 3+ years of work at a life sciences, big tech, start-ups, or a top consulting firm Technical Knowledge Requirements: * Broad understanding of emerging technologies in AI/ML. * Effective project management and teamwork skills, with the ability to communicate across multiple management levels and thrive in cross-functional settings. * Key competencies: Knowledge of AbbVie's business, experience in AI/ML, enterprise thinking with ability to build credibility within the organization; time management, project management mastery, strong interpersonal skills (i.e. communication adaptability, meeting facilitation, negotiation, mediation, conflict management), and ability to successfully adapt to changing requirements. Preferred: * Advanced degree in a computational field * Professional experience at a product-focused technology company (e.g., Big Tech, start-ups) * Manager role and above at a top consulting firm Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Senior Machine Learning Scientist sf, ca Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery. Qualifications - Essential PhD or equivalent practical experience in a technical field. A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models. Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas). A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action. Qualifications - Nice to have Prior experience with ML applied to problems in biology or chemistry. Familiarity with multimodal modeling, contrastive learning or self-supervised learning. Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention) Key Responsibilities Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq. Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets. Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses. Benefits Unlimited Paid Time Off (PTO). Monthly Lunch budget. One-time Office set up budget. US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents. $200,000 - $275,000 a year This position requires on-site presence at our South San Francisco office a minimum of three days per week. We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWe are seeking an in vivo scientist who will design and execute in vivo studies of AAV-based cancer therapeutic candidates to advance our oncology pipeline and technology platform. You will contribute to preclinical study design and lead their execution, ensuring high levels of scientific rigor and compliance with relevant regulations. This is an ideal position for a candidate with a strong background in immuno-oncology and in vivo pharmacology who thrives in a team-oriented, cross-disciplinary collaborative environment.Primary Responsibilities • Design and execute preclinical in vivo studies in collaboration with discovery and data scientists, develop timelines and action plans to meet company goals., • Choose appropriate in vivo models and develop protocols with relevant endpoints for evaluating the mechanism of action, efficacy, and safety of therapeutic candidates., • Perform hands-on in vivo experiments, including orthotopic tumor cell implantation, IV, IP and SC injections, in vivo imaging, and animal welfare monitoring., • Perform biological sample collection and processing, MACS/FACS cell sorting, immune cell profiling using multicolor flow cytometry, immunogenicity testing using ELISA and ELISPOT, and cell-based functional assays., • Generate, document, analyze and interpret experimental data to support critical decisions., • Manage external laboratories and partners.Required Skills & Qualifications, • PhD in Life Sciences with specialization in oncology or immunology., • At least 3 years of hands-on experience working with murine tumor models in an, • industry and/or academic setting., • Demonstrated independent ability to design, execute and interpret experimental data., • Demonstrated experience in in vivo procedures, such as rodent surgery and IV dosing., • Experience with tissue handling and processing, cell sorting, multi-color flow cytometry and cytokine profiling, experience with IHC and ISH is a plus, • Proficiency in mammalian cell and tissue culture., • Detail-oriented, with strong organizational and record-keeping skills., • Excellent communication skills and ability to collaborate effectively in a cross-functional team., • Experience working in a GLP or regulatory-compliant environment is a plus.At Pattern Bio, we design biological circuits at the intersection of synthetic biology and AI for cell-specific targeting of cancer tissue. By integrating data-driven design into every step—from DNA constructs to AAV-based delivery systems—we are building precise, rationally engineered, curative therapies. Our cohesive and driven team in South San Francisco is dedicated to curing cancer and saving lives.

Seeking a patent litigation associate with experience in life science or pharmaceutical patent litigation, including Hatch Waxman litigation, and disputes counseling. Applicants should have at least an undergraduate degree in biology, chemistry or other equivalent relevant to the pharmaceutical indu

Job DescriptionAbout Tahoe Therapeutics Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your role We are seeking a talented and motivated Research Associate to join the Tahoe Therapeutics team. This position is laboratory-based and will require close work with team members to maintain cancer cell lines and support our Mosaic and Validation experiments. We are looking for a candidate who is a dedicated team player, capable of assisting with several projects at once, and one who thrives in a collaborative environment between multiple innovative individuals. Scientists that demonstrate self-motivation and enthusiasm for scientific bench work are strongly encouraged.Qualifications • B.S. with 2+ years of lab experience, • Experience with tissue culture and cancer cell lines, • Strong laboratory skills and experience with standard laboratory techniques, • Ability to work in a highly adaptive environment and learn new skills for changing priorities, • Highly motivated self-starter with a strong work ethic, • Demonstrated scientific curiosity, • Strong communication skills, • Ability to multitask and manage time effectively, • Demonstrated ability to work independently and in a team, coordinating tasks across multiple projects to meet deadlines, • Willingness to expand scope of responsibilities outside of initial job description, • You must be legally authorized to work in the U.S.Key Responsibilities, • Maintaining and propagating multiple cancer cell lines, • Develop and optimize experimental protocols, • Design and perform experiments in collaboration with scientists and bioinformaticians, under aggressive timelines, • Document experimental designs and results; maintain excellent records and data, • Participate in technical discussions and present results to the team, • Support and/or lead cross-team projects to meet company objectives, • Support the larger R&D team in various lab/day-to-day operations and activities across the boardBenefits, • Unlimited Paid Time Off (PTO), • HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents, • Daily lunch stipend

Job DescriptionAbout Tahoe TherapeuticsTahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your roleWith Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible. As a Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.Qualifications - Essential • PhD or equivalent practical experience in a technical field., • A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models., • Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas)., • A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action.Qualifications - Nice to have, • Prior experience with ML applied to problems in biology or chemistry., • Familiarity with multimodal modeling, contrastive learning or self-supervised learning., • Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention)Key Responsibilities, • Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq., • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets., • Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses.Benefits, • Unlimited Paid Time Off (PTO)., • Monthly Lunch budget., • One-time Office set up budget.

Machine Learning Engineer / Machine Learning Scientist, Multi Modality – Altos Labs Join Altos Labs to build computational platforms enabling multi‑modal generative foundation models for biology. Responsibilities Machine Learning Engineer. MS in Computer Science, Statistics, Machine Learning, AI

Berkeley Lab’s ( LBNL ) Environmental Genomics and Systems Biology ( EGSB ) Division is looking for a Software Developer to join the US Department of Energy’s ( DOE ) Systems Biology Knowledgebase ( KBase ) team!. In this exciting role, you will design, develop, and maintain software infrastruct

Certified Industrial Hygienists/Industrial Hygienists. Advanced degree in Biology, Chemistry, Industrial Hygiene or Occupational Safety, as well as a Certified Industrial Hygienist (CIH) professional registration (or equivalent work experience). These positions will be responsible for providing indu

Job Description Using living cells to treat – and sometimes even cure – cancer is one of the most dramatic advances in modern medicine. Patients with hematologic malignancies have been successfully treated with cell therapies. However, these profound results have not yet been achieved in patients with solid tumors, representing approximately 90% of all cancers. And for patients with hematologic malignancies, there is a need for next-generation cell therapies that can deliver increased response rates and longer duration of response. We are a clinical-stage company advancing a pipeline of next-generation CAR T-cell therapies for patients with solid tumors or hematologic malignancies. Lyell's product candidates are enhanced with novel technology designed to generate T cells that resist exhaustion and have qualities of durable stemness in order to drive durable tumor cytotoxicity and achieve consistent and long-lasting clinical response. We were founded by cell therapy pioneers whose decades of research elevated the broader understanding of T-cell biology and its interaction with cancer. In our quest to advance next-generation CAR T-cell therapies, we have built a fully integrated company capable of discovering new technologies, translating science into therapies, manufacturing cell therapy products, and clinically evaluating them in patients. Our culture is based on Science, Respect, Collaboration, and Courage and reflects who we are, the environment we create, and our mission's urgency. The Sr. Director, Clinical Development is a pivotal role within our organization, responsible for providing clinical leadership and strategic direction for one of our cutting-edge cell therapy programs, including those in pivotal stage development. This individual will play a crucial role in advancing our cell therapy initiative from early-phase research through to commercialization. KEY ROLE AND RESPONSIBILITIES: • Lead the design, implementation, and oversight of clinical trials for cell therapy products., • Analyze and interpret clinical trial data and provide medical input for clinical study reports., • Ensure the scientific integrity of clinical studies and compliance with regulatory requirements., • Represent the company at scientific conferences, industry meetings, and in interactions with key opinion leaders (KOLs)., • Oversee the monitoring and reporting of adverse events and safety signals, ensure patient safety and ethical conduct of clinical trials and develop and implement risk management strategies., • Collaborate with regulatory affairs to prepare and review regulatory submissions (IND, BLA, etc.)., • May develop and review scientific content for regulatory documents, scientific communications and marketing materials., • Provide guidance and mentorship to members of the clinical development team; support professional development opportunities for team members., • May represent clinical development in executive leadership meetings and contribute to strategic decision-making processes., • Participate in cross-functional project teams and contribute to strategic planning., • Provide medical expertise to support product development, marketing, and sales teams., • Ensure adherence to all regulatory guidelines and Good Clinical Practice (GCP) standards., • Substantially develop the Clinical Development Plan (CDP) and clinical trial protocols. PREFERRED EDUCATION: • M.D. or M.D./PhD; current/prior board certification in oncology, hematology, or a related field is preferred., • 8+ years of related experience PREFERRED EXPERIENCE: • Minimum of 5 years of clinical research experience in oncology; experience with cell or immunotherapy is preferred., • Demonstrated experience in the design, execution, and oversight of clinical trials., • Experience with regulatory submissions and interactions with regulatory agencies is highly desirable. KNOWLEDGE, SKILLS AND ABILITIES: • In-depth knowledge of regulatory requirements and GCP standards., • Strong analytical and problem-solving skills, with the ability to interpret complex clinical data., • Excellent leadership and cross-functional collaboration/team leadership capability., • Strong communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Our Employee Benefits program is extensive and includes subsidized medical, dental and vision plans from your first day of employment, FSA, Company provided Life and AD&D Insurance as well as STD and LTD Insurance, ESPP, a 401(k) Plan with Company match, mass transit commuter benefits, cell phone reimbursement and a range of supplemental benefits that you may choose to elect. Our paid time-off benefits currently include Flex Time off, sick leave, 8 observed holidays as well as a floating holiday. We also have a winter office shutdown. At Lyell, we believe that highest performing teams include people from a wide variety of backgrounds and experiences who respectfully challenge each other. We are committed to building an open, diverse and inclusive culture for all employees. Lyell is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws. We've learned from experience that some of the best people don't always match our requirements perfectly - if you're interested and think you could fit, please don't hesitate to apply.

Job DescriptionAbout Rezo TherapeuticsRezo is a different kind of biopharma company. Our mission is to dramatically increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform that will redefine our understanding of human disease and ability to treat it. Our Founders and members of the Board are a group of esteemed, world-class scientists from the University of California, San Francisco: Nevan Krogan, Kevan Shokat, Sourav Bandyopadhyay, Natalia Jura, as well as renowned biotech executives George Scangos and Norbert Bischofberger. These leaders bring with them a strong track record of amazing discoveries and scientific breakthroughs, leading to very successful companies and many FDA approved drugs. Capitalizing on our Series A of $78M from top-tier investors, we are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches. Located in San Francisco’s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities. We recognize that realizing our mission depends as much on our people as it does on our science and are building a workplace that fosters collaboration, respect, and diversity where contributing to your team’s success is valued as highly as individual achievements. If you’re passionate about team science and breaking down barriers to progress in drug development, please consider joining us! If you do not see a job listing that matches your specific background, please apply to this posting as we will be looking for exceptional individuals in the following areas: Proteomics • Develop industry scale assays using in-house mass spectrometers, • Execute platform projects centered on PPI mapping, proximity labeling, post-translational modification and abundance proteomics, • Support drug discovery campaigns and develop target-based screensGenetics, • Develop multimodal single and combinatorial genetic screens using CRISPR technologies, • Collaborate with target discovery teams to provide genetic support for targets and drug MOAChemical Biology and Protein Sciences, • Develop HTS small molecule screening campaigns and create robust target assays for drug development, • Drive enzymology, biophysics and protein binding analysis efforts, • Help build out the structural biology platform (including crystallography & Cryo-EM), • Develop chemical biology tools to map ligandable pockets and aid in drug developmentCancer Biology, • Implement cutting edge molecular and cellular techniques to determine target functions in cell-based solid tumor models, • Develop data packages to prioritize targets and nominate candidates to the drug discovery stage, • Individuals with expertise in oncogene/tumor suppressor pathways and/or drug resistance are especially encouraged to applyComputational Biology, Data Science, • Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets, • Implement cloud infrastructure, pipelines, and UI/UX for data analytics

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Director of Scientific Partnerships to lead all external strategic relationships across pharma, biotech, and our broader technology ecosystem. This role requires a strong scientific background combined with experience in the tech industry, ideally within AI, cloud, or platform-based tools used in discovery R&D. You will manage and expand partnerships with large pharmaceutical companies, innovative biotechs, strategic collaborators, and platform partners such as NVIDIA and Frontier Labs. You will identify joint value creation opportunities, drive scientific and technical collaborations, shape co-marketing and co-development initiatives, and ensure that Mithrl plays a central role in the future of AI enabled R&D. This role is highly cross functional. You will work closely with product, engineering, marketing, sales, deployment, and leadership to ensure our partnerships accelerate adoption, expand capabilities, and drive strategic advantage. If you enjoy bridging science, business, and technology at the highest levels, this is an opportunity to define the partnership strategy for one of the most ambitious companies in tech bio. WHAT YOU WILL DO Pharma and Biotech Partnerships * Build and manage long-term partnerships with major pharma and cutting-edge biotechs * Identify opportunities for co-development, joint studies, and strategic collaborations * Serve as the primary relationship owner and executive contact for partner organizations * Navigate complex stakeholder environments and ensure alignment across scientific, IT, and BD teams * Support pilots, expansions, and partnership renewals with a strategic and scientific lens Ecosystem and Technology Alliances * Manage alliances with technology partners like the frontier labs, cloud partners and other platform partners * Develop co-marketing, co-sales, and co-product strategies with ecosystem partners * Represent Mithrl in partner technical programs, summits, and joint initiatives * Identify opportunities to strengthen Mithrl’s position within the broader AI and life sciences ecosystem Scientific Leadership and Credibility * Communicate Mithrl’s scientific differentiation clearly to senior R&D leaders * Understand and articulate how Mithrl fits into discovery and preclinical workflows * Provide scientific context during negotiations, technical evaluations, and strategic planning * Collaborate with application scientists and ML teams to scope partner-driven studies Strategic Partnership Operations * Build the long-term partnerships operating model and playbooks * Define success metrics, workflows, and reporting for strategic partners * Align with product and engineering to guide roadmap discussions based on partner needs * Support cross functional collaboration across GTM, deployment, and product teams WHAT YOU BRING Required Qualifications * PhD in biology, computational biology, bioinformatics, pharmacology, or a related discovery field * Deep understanding of drug discovery and preclinical development workflows * Experience in the tech or tech bio industry in roles involving partnerships, alliances, GTM, ecosystem development, or scientific solutions * Strong ability to translate scientific concepts into strategic business value * Proven track record of managing external relationships with senior scientific and technical audiences * Excellent communication, negotiation, and presentation skills * Comfort working in dynamic, cross functional environments with scientists, engineers, product teams, and executives * Ability to travel as needed for partner meetings, conferences, and strategic events Nice to Have * Experience launching or managing AI or data driven scientific platforms * Prior work building alliances between pharma and tech companies * Understanding of cloud platforms, ML workflows, or computational biology pipelines * Experience with business development or strategic planning in biotech * Network within the biopharma and techbio ecosystems WHAT YOU WILL LOVE AT MITHRL * High ownership: You will lead one of the most strategic functions in the company and shape how Mithrl expands globally * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $135K - $175K

Job DescriptionAbout Becoming Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. Most existing models work in short-horizon or static regimes. They fail when systems become long-horizon, nonlinear, and context-dependent — exactly where development, biology, and many real-world systems live. We are building a new modeling primitive for reasoning about complex dynamics over time, starting with developmental biology and extending to other domains where prediction fundamentally breaks. The Role We are hiring a Research Scientist to help verify, validate, and shape a new modeling primitive designed for complex, time-evolving systems. This role is not about incremental model improvements or benchmark chasing. Your responsibility is to rigorously evaluate whether this primitive works, where it works, where it fails, and why. You will help define its scope, limits, and evolution through careful analysis, experimentation, and comparison to existing approaches. Your work will directly influence how the platform develops and how broadly it can be applied. What You’ll Own • Validation of a new AI modeling primitive for long-horizon dynamical systems, • Design of experiments and benchmarks that test stability, generalization, and predictive fidelity over time, • Comparative evaluation against existing modeling approaches, • Identification of failure modes, assumptions, and edge cases, • Clear articulation of why the model succeeds or fails in different regimes, • Translation of findings into guidance for future architecture and system design, • Exploration of applicability across multiple domains with complex dynamics, not just biology Who You Are You are someone who: • Operates with high agency — you identify problems, define solutions, and execute, • Brings high energy to complex, ambiguous engineering challenges, • Acts with high integrity — you are honest about tradeoffs, risks, and failure modes, • Communicates directly and clearly, especially when something won’t work, • Is self-aware about your strengths and gaps, and proactively fills them, • Thinks naturally in terms of dynamics, stability, and generalization, • Enjoys stress-testing models to understand their limits Required • PhD or equivalent experience in applied mathematics, physics, computer science, machine learning, or a related field, • At least 1 year of industry or applied research experience working on real modeling systems, • Strong grounding in dynamical systems, time-series modeling, control, or sequence modeling, • Experience evaluating models where ground truth is partial, delayed, or noisy, • Ability to design validation strategies when standard benchmarks are insufficient, • Comfort working with first-of-its-kind architectures and open-ended questions Strong Signals • Experience with state-space models, world models, neural ODEs, diffusion over time, or hybrid approaches, • Prior work on systems where prediction degrades over long horizons, • Exposure to biological, physical, or other real-world dynamical systems, • Competitive salary and meaningful equity, • Full benefits, • High-trust, high-ownership environment, • Rapid growth in scope and responsibility

Job Description We are looking for a Machine Learning Engineer (Life Sciences) to help build our platform for training, evaluating, and deploying interpretable frontier AI systems, with an emphasis on scientific and biological foundation models(e.g., genomic foundation models, protein language models, vision models for digital pathology). Where you might contribute: • Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they've learned., • Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data., • Optimize pipelines and infrastructure for frontier model interpretability, training, and inference., • Prototype techniques to visualize and manipulate internal model structures., • Integrate new machine learning workflows and pipelines into our product and deploy to customers., • Ensure system reliability, reproducibility, and performanceWhat you will bringRequired experience, • 5+ years of experience in ML infra, research engineering, or systems programming., • Comfort working across research and engineering boundaries., • Expertise in Python, PyTorch or Jax, and distributed systems., • Experience deploying and maintaining ML systems at scale., • You care about understanding how models work internally and using that to make them more reliable and useful in the real worldPreferred qualifications, • Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data)., • Open-source ML infrastructure contributions. Put mission and team first All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves. Improve constantly We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work. Take ownership and initiative There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what were building. Action today We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today. What we offer This role offers market competitive salary, equity, and competitive benefits. You'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. We’ve brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on cell biology at Nudge, you will: * Develop methods for characterizing the mechanisms of action of ultrasound on neural tissue * Design and execute experiments in vitro to determine the impact of ultrasound on cellular properties, activity, and plasticity * Explore ultrasound parameter optimization for driving cellular activity and plasticity * Translate in vitro findings to inform human neuromodulation studies About you We are looking for research scientists of multiple levels, but regardless of your career level, you should have: * PhD or postdoc in neuroscience, molecular/cellular biology, biomedical engineering or a similar engineering discipline * Exceptional proficiency neural cell culture or slice methods, and preferably human neural iPSC methods * Experience applying calcium imaging, functional imaging analysis, two-photon, or other advanced microscopy techniques * Experience applying electrophysiology, voltammetry, or other neural recording methods * Demonstrated history of exceptional technical contribution

Job DescriptionAbout Becoming Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. Most experimental systems fail when metabolic demands become too high. We are building systems that don’t — enabling sustained, controllable biological processes over long time horizons so that development, adaptation, and failure can be observed, perturbed, and predicted. Physiology is central to this effort. Without stable, well-characterized physiological function, long-horizon prediction is impossible. The Role We are hiring a Developmental Systems Lead to own making externally sustained developmental systems run stably, repeatably, and predictably over days to weeks. This role is for someone who thinks in systems, not endpoints — someone who understands how transport, metabolism, signaling, mechanics, and homeostasis interact over time. You will lead the design and operation of systems that integrate perfusion, physiology, sensing, actuation, and closed-loop control to sustain and perturb development in ways that generate meaningful, causal data. This is a high-agency role. You will be expected to define measurements, interpret dynamics, and drive improvements in system-level function. What You’ll Own • End-to-end responsibility for externally sustained developmental systems operating over days to weeks, • Definition of what “success” means beyond “alive,” including how stability, drift, and failure are measured over time, • Identification, characterization, and mitigation of long-horizon failure modes (e.g., drift, inflammation, hemolysis, interface breakdown), • Design and refinement of closed-loop control strategies for complex biological systems, • Integration of perfusion hardware, sensors, and control software into durable platforms, • Decisions about when systems are sufficiently stable to perturb, compare, and learn from, • Close collaboration with developmental biology, hardware, and ML / modeling teams, • Building systems that improve with iteration, not systems that require constant manual expert intervention Who You Are You are someone who: • Operates with high agency — you identify what needs to be measured and why, • Takes ownership of outcomes, not just data collection, • Brings high energy to complex, dynamic biological systems, • Acts with high integrity — you are honest about uncertainty, limits, and tradeoffs, • Communicates directly and clearly, especially when systems are not behaving as expected, • Is self-aware about your strengths and gaps, proactively fills them and open to feedback Requirements Required • Deep, hands-on experience with long-running biological or physiological systems (days+, not hours), • PhD or equivalent experience in physiology, engineering, or a related field, • Experience with several of the following:, • Perfusion systems involving blood or blood analogs, • Hemodynamics, flow, pressure, and shear — and their biological consequences, • Inflammation, coagulation, hemolysis, or endothelial failure in sustained systems, • Closed-loop control of noisy, drifting systems, • Real-time instrumentation and sensing in biological environments, • Diagnosing failure modes that emerge gradually, not catastrophically, • Ability to work fluently with developmental biologists and/or physiologists, • At least 1 year of industry or applied systems experience Strong Signals • Background in perfusion, ECMO, organ support, or normothermic preservation, • Physiology-driven systems engineering experience, • Experience with complex robotics or control systems operating in irreversible environments, • Competitive salary and meaningful equity, • Full benefits, • High-trust, high-ownership environment, • Rapid growth in scope and responsibility

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