Research Engineer I II​/III (AI ​/ Machine Learning

Position: Research Engineer I II/III (AI / Machine Learning)
## Research Engineer I II/III (AI / Machine Learning)
Apply locations:
San Francisco time type:
Full time posted on:
Posted Yesterday job requisition :
REQ-3845##
** Category:
** Science##
** Lab/Area:
** Jain Lab## ##
*
* Description:

**** Who we are
** 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.
** About the Role
** 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.
** What You Will Do
*** 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.
** What You Will Need
*** 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, Open Code, 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.
** What Is Preferred
*** 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.
* Git Hub,…