San Francisco, California, United States · On-site
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Skills: Python, Artificial Intelligence, Machine Learning, Computational Biology, Agentic AI
Stockton, California, United States · Hybrid
$130k–$155k/yr
The R&D Manager at Kevin’s Natural Foods plays a critical role in driving the innovation and development of our clean-label product portfolio. This role is responsible for leading the Product Development team, overseeing…
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San Francisco, California, United States · On-site
$15k–$15k/mo
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El Segundo, California, United States · On-site
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Redwood City, California, United States · On-site
$18/hr–$36/hr
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
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Aliso Viejo, California, United States · On-site
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Burbank, California, United States · On-site
Welcome! We’re excited you’re considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you’ll find ot…
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Fremont, California, United States · On-site
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Los Angeles, California, United States · Remote OK
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El Segundo, California, United States · On-site
$146k–$239k/yr
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West Covina, California, United States · On-site
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San Fernando, California, United States · On-site
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Lake Forest, California, United States · On-site
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Santa Monica, California, United States · Hybrid
$186k–$279k/yr
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Tucson, Arizona, United States · On-site
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San Francisco, California, United States · On-site
$24/hr–$30/hr
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Industry, California, United States · On-site
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Los Angeles, California, United States · On-site
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Los Angeles, California, United States · On-site
$100k–$117k/yr
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San Francisco, California, United States • On-site
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You will design and build AI systems to ingest and process laboratory data into a knowledge repository for AI agents. Additionally, you will develop agentic AI systems that reason across this data to suggest hypotheses, design experiments, and accelerate scientific discovery.
Candidates must hold a BS or MS in Computer Science, AI, Computational Biology, or a related quantitative discipline with strong Python programming skills. Experience with LLMs, agentic AI frameworks, and cloud infrastructure is required, along with an interest in molecular biology.
At Gladstone Institutes, every role contributes to discoveries that have the potential to transform
lives.
Gladstone is a world-renowned independent, nonprofit biomedical research organization dedicated to solving some of the most challenging diseases affecting humanity. Our scientists are leaders in neuroscience, cardiovascular disease, immunology, stem cell biology, and emerging areas of biomedical innovation. Located in San Francisco’s vibrant Mission Bay research hub, Gladstone brings together exceptional researchers, clinicians, and professionals who share a common goal: improving human health through science.
With approximately 600 employees, we offer the agility of an independent institute combined with the impact of a globally recognized research organization. We foster a collaborative, inclusive culture where employees are encouraged to grow professionally while contributing to work that truly matters.
The Jain Lab develops new approaches to understand how oxygen, metabolism, and vitamins regulate physiology and disease. We combine CRISPR screens, multi-omics, imaging, computational biology, and animal models to answer fundamental biological questions and develop new therapies.
We are seeking a highly motivated AI Research Engineer to help build an AI-native research laboratory. You will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery.
This is a unique opportunity to work at the intersection of frontier AI and experimental biology, helping define how AI transforms biomedical research.
Design and build systems for ingesting literature, datasets, electronic lab notebooks, Slack discussions, meeting transcripts, code repositories, protocols, etc. into a "lab knowledge repository" (data layer) optimized for search & retrieval of information by AI agents.
Develop agentic AI systems that reason across the lab knowledge repository, and use external tools to perform multi-step scientific workflows tailored to the lab's focus and ways of working.
Build always-on AI agents that proactively review new papers, meetings transcripts, etc. and make connections, suggest hypotheses & experiments, identify flaws or gaps, and help with interpretation.
Collaborate closely with experimental scientists to rapidly prototype and deploy AI tools.
Evaluate new & emerging AI tools for biomedical research and incorporate state-of-the-art methods into the lab.
BS or MS in Computer Science, AI, Machine Learning, Computational Biology, Bioengineering, or a related quantitative discipline.
0–2 years of research or industry experience (outstanding undergraduate applicants encouraged).
Strong Python programming skills.
Strong knowledge of best practices for AI-assisted coding with tools like Claude Code, Codex, OpenCode, etc.
Strong knowledge of agentic AI fundamentals such as MCP servers/tool calling loops, embeddings & vector databases, Skills & context engineering, and related technologies.
Experience building projects with LLMs and agentic AI frameworks such a Langchain/Langgraph, OpenAI/Gemini/Claude SDK, etc.
Experience with cloud infrastructure (GCP, AWS, Azure), Docker, Git, and modern software engineering practices.
Interest in biology and enthusiasm for learning molecular biology and biomedical research.
Excellent communication and collaboration skills.
Coursework or research experience in molecular biology, genetics, computational biology, or bioinformatics.
Experience with biological datasets (RNA-seq, CRISPR screens, imaging, proteomics, metabolomics).
Experience developing AI agents that interact with APIs, databases, or external tools.
GitHub, open-source contributions, or substantial personal AI projects.
We are looking for someone who loves building things, learns new technologies quickly, and is excited about applying frontier AI to scientific discovery. You do not need extensive industry experience, but you should have demonstrated initiative through research projects, internships, open-source contributions, or personal projects involving LLMs or agentic AI systems. You will work closely with researchers across Gladstone, Arc Institute, UCSF, and collaborating laboratories.
$78,000-$114,000
Gladstone Perks & Benefits
People–work with talented, committed, and supportive teammates within an organization that values each member of its community.
A meaningful place to grow and learn–whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and excellent environment.
Healthy work/life balance–you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.
Compensation–competitive salary. Title and salary will be commensurate with education and experience.
Excellent benefits–generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.
Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.
Science Overcoming Disease
Gladstone's mission is to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment. Although Gladstone shares traits with other top life science organizations, we pride ourselves on taking uncommon scientific paths to overcoming disease. Our investigators are selected to become authorities in leading or creating new fields, and we work to provide them with resources to explore bold new thoughts, form effective scientific teams, and create or master emerging research technologies that accelerate progress—Gladstone’s special recipe for success that has yielded some of the most important biomedical advances of our time. Our three disease-focused institutes constitute the core of our discovery engine, but do not operate in isolation. We are seizing unprecedented opportunities for “convergence”—defined as the blending of intellectual and physical assets from multiple scientific disciplines and fields to speed the discovery process in our attack on unsolved health problems that affect almost every human family.
Offices: 1650 Owens Street, San Francisco, California 94158, US
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