Principal Data Scientist

Formation Bio

$204K — $267K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in computational sciences or life sciences
  • 5+ years of post-academic experience in life sciences (biotech, pharma, consulting)
  • Strong programming skills, primarily in Python
  • Extensive experience in multi-modal bioinformatics analysis

Responsibilities

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

Benefits

  • Equity offerings
  • Comprehensive benefits package
  • Generous perks
  • Hybrid work flexibility
Full Job Description
About the Position

As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll 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. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.

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

About You

Required Qualifications
  • PhD in computational sciences or life sciences
  • 5+ years of post-academic experience in life sciences (biotech, pharma, consulting)
  • Strong programming skills, particularly in Python
  • Extensive experience in multi-modal bioinformatics analysis

Preferred Qualifications
  • Proven 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 (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate.

Compensation:

The target salary range for this role is: $204,500 - $267,000.

Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.

#LI-hybrid

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