Scientific AI Engineer for ImmGen Data & AI

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

Benefits offered by this job

Generous paid time off

Health insurance

Retirement plans

Wellbeing resources

Tuition assistance

Commuter benefits

Job summary

Harvard Medical School's Department of Immunology seeks an autonomous Scientific AI Engineer to design and implement an AI agent that interfaces with ImmGen data and external tools. You will wrap and expose existing resources for natural-language interaction, guided by safe, scalable MCP strategies.

This is a 2-year term position at Harvard, based in Boston, with standard hours 35 per week; visa sponsorship not provided.

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 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 with ImmGen scientists to understand datasets, tools, APIs, and access methods; adapt ImmGen data for LLM-based agent use.
• Collaborate with scientists to define use cases, answer formats, and scientific language/graphics.
• Map questions to ImmGen resources and analytical workflows.
• Develop interfaces, APIs, schemas, guardrails, and orchestration to connect the agent to ImmGen infrastructure.
• Implement safeguards against hallucinations and invalid interpretations.
• Ensure safeguards to prevent expensive auto-computes.
• We seek a team player to help re-write scientific data propagation.

Skills

Python

LLM applications

Data analysis

Software engineering

RAG systems

Education

Advanced degree

Genomics/Computational biology

Tools

Pandas

NumPy

SciPy

scikit-learn

Scanpy

Bioconductor

APIs

Version control

Job description

Harvard Medical School's Department of Immunology seeks an autonomous Scientific AI Engineer to design and implement an AI agent that interfaces with ImmGen data and external tools. You will wrap and expose existing resources for natural-language interaction, guided by safe, scalable MCP strategies.

This is a 2-year term position at Harvard, based in Boston, with standard hours 35 per week; visa sponsorship not provided.