Scientific AI Engineer for ImmGen: LLM-Driven Bio Insights

Harvard University FAS Human Resources; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, and vision coverage

Retirement plans with university con-

Wellbeing resources

Tuition assistance and reimbursement

Commuter benefits

Job summary

Harvard Medical School ImmGen is seeking a Scientific AI Engineer to design and implement an AI agent that accesses ImmGen data and public analytical tools. You will work with immunologists and data analysts to wrap resources for reliable, natural-language querying.

You will help define use cases, ensure robust guarding of results, and orchestrate interfaces to existing data platforms within a 2-year term. The role emphasizes collaboration and responsible AI in biomedical research.

Qualifications

• Minimum of five years’ post-secondary education or relevant work experience.
• Advanced degree or equivalent professional experience in computational biology, bioinformatics, genomics, or a related field.
• Strong Python programming skills and experience with scientific computing libraries such as pandas, NumPy, SciPy, scikit-learn, Scanpy, Bioconductor, or equivalent tools.
• Strong software-engineering skills, including experience with APIs, data schemas, testing, version control, logging, documentation, and reproducible workflows.
• Experience integrating software with existing scientific data platforms, analytical pipelines, web services, or computational tools.
• Hands-on experience with LLM applications, including tool/function calling, retrieval-augmented generation, structured outputs, agent orchestration, or natural-language-to-SQL/code systems.

Responsibilities

• Work closely with ImmGen scientists and data analysts to understand existing datasets, metadata, documentation, tools, APIs, and access mechanisms, adapt and wrap existing ImmGen data so they can be invoked reliably by LLM-based agent that calls on public analytical and visualization tools.
• Collaborate with ImmGen scientists to define supported use cases, desired answer formats, and appropriate scientific language and graphics.
• Map existing and potential researcher questions to the appropriate existing ImmGen resources and analytical workflows.
• Develop the software interfaces, APIs, schemas, computational guardrails and orchestration logic required to connect the agent to ImmGen’s existing infrastructure.
• Implement safeguards against hallucinated results, invalid comparisons, inappropriate statistical interpretations, and unsupported biological claims.
• Ensure that the agent does not automatically initiate unduly expensive computes.
• We are looking for a team player eager to participate in the exciting re-writing of scientific data propagation.

Skills

Python programming

LLM applications

APIs

Data workflows

Version control

Education

Advanced degree in computational biology or related field

Tools

Pandas

NumPy

SciPy

scikit-learn

Scanpy

Bioconductor

Job description

Harvard Medical School ImmGen is seeking a Scientific AI Engineer to design and implement an AI agent that accesses ImmGen data and public analytical tools. You will work with immunologists and data analysts to wrap resources for reliable, natural-language querying.

You will help define use cases, ensure robust guarding of results, and orchestrate interfaces to existing data platforms within a 2-year term. The role emphasizes collaboration and responsible AI in biomedical research.