Data Scientist (Open Level)

Formation Bio•Boston, MA
•$161,500 - $267,000•Hybrid

About The Position

As a Data Scientist at Formation Bio, you will lead initiatives that directly impact the drug development portfolio, including developing models for patient selection and AI-powered solutions for clinical trial optimization. You will work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. The role offers the opportunity to apply advanced AI technologies to pharmaceutical development and contribute to bringing treatments to patients.

Requirements

  • PhD in computational sciences or life sciences.
  • 3–5+ years of post-academic experience in life sciences, such as biotech, pharma, or consulting.
  • Strong programming skills, particularly in Python.
  • Extensive experience in multi-modal bioinformatics analysis.

Nice To Haves

  • Expertise in cloud computing environments, including proficiency with tabular and/or graph databases.
  • Strong background in machine learning and deep learning, particularly in biological applications.
  • Experience with large language models (LLMs).
  • Ability to collaborate effectively with engineering teams on production systems.
  • Strong communication skills and ability to present complex technical findings to senior stakeholders.

Responsibilities

  • Lead and execute complex data science projects that directly advance the drug development portfolio.
  • Develop and implement models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification.
  • Design and create AI models to modernize clinical trial evaluations, including surrogate endpoints.
  • Aid in developing and training AI agents to automate and optimize biomedical workflows.
  • Collaborate with clinical, technical, and research teams.
  • Present complex analytical findings to senior stakeholders, including executive leadership.

Benefits

  • Equity.
  • Comprehensive benefits.
  • Generous perks.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service