Staff Engineer Agentic AI, Oncology Data Science & AI

Role Summary

Staff Engineer for Agentic AI in Oncology Data Science & AI. Located in Boston, MA or Gaithersburg, MD. Focused on developing agentic AI solutions to tackle scientific research problems in cancer research and oncology data science.

Responsibilities

• Build Agentic AI driven solutions that tackle scientific research problems.
• Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.
• Automate complex data analysis processes.
• Introduce leading AI technologies applied to cancer research.

Qualifications

• Required: Relevant graduate degree in Computer Science, Engineering, or Bioinformatics.
• Required: Minimum of 10 years of applied experience in software engineering, data science, machine learning, bioinformatics, or relevant field.
• Required: Hands-on experience building Agentic AI systems and deploying them to production.
• Required: Programming skills in Python and/or TypeScript.
• Required: Experience with Unix, SQL databases, REST APIs, and Cloud computing (AWS).
• Required: Experience with software development best practices.
• Desirable: AI frameworks such as Pydantic-AI, LangChain; experience in RAG and vector databases; understanding of LLMs/foundation models; experience in at least one compiled language (C, Java, Go, Rust, etc.).

Skills

• Agentic AI systems development and deployment
• Genomics, Computational Pathology, and Clinical Trials tooling
• Automation of data analysis workflows
• Proficiency in Python and/or TypeScript; Unix; SQL; REST APIs; AWS
• Software development best practices
• Familiarity with AI frameworks and LLM technologies (preferred)

Education

• Graduate degree in Computer Science, Engineering, or Bioinformatics (required)