About the Role
The Jain Lab is 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, and other sources 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.
Responsibilities
- Design and build systems for ingesting literature, datasets, electronic lab notebooks, Slack discussions, meeting transcripts, code repositories, protocols, etc. into a "lab knowledge repository" optimized for search & retrieval by AI agents.
- Develop agentic AI systems that reason across the lab knowledge repository and use external tools to perform multi-step scientific workflows.
- 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.
Requirements
- 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.
Skills
- Python
- AI-assisted coding
- Claude Code
- Codex
- OpenCode
- Agentic AI fundamentals
- MCP servers/tool calling loops
- Embeddings & vector databases
- Skills & context engineering
- LLMs
- Agentic AI frameworks
- Langchain/Langgraph
- OpenAI/Gemini/Claude SDK
- Cloud infrastructure (GCP, AWS, Azure)
- Docker
- Git
- Modern software engineering practices
Location
- San Francisco
Work Type
- Onsite
Experience Level
- 0-2 years
Education Level
- BS or MS
Salary/Compensations
- $78,000-$114,000
Benefits
- Generous medical, dental, vision
- Retirement plan
- Paid vacation
- Commuter benefits
- Access to free shuttle transportation
About the Company
- Gladstone Institutes is a world-renowned independent, nonprofit biomedical research organization dedicated to solving challenging diseases.
- 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.
- Approximately 600 employees.
- Fosters a collaborative, inclusive culture.
Equal Opportunity
- 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.
