Manager of Data Science

BranchLab

$120K — $150K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience)
  • 7+ years of experience building machine learning or statistical models deployed in production environments
  • 2+ years of management experience
  • Experience working on healthcare claims and EHR data across various therapeutic areas
  • Strong SQL, Python skills, and best practices for software product development
  • Strong statistical and machine learning fundamentals
  • Demonstrated ability to translate business priorities into data science products in cross-functional collaboration
  • Excellent oral and written communication.

Responsibilities

  • Collaborate with cross-functional leadership to identify and prioritize impactful projects
  • Lead large-scale data science initiatives from planning through execution to delivery
  • Build and maintain a high-performing team of data scientists
  • Communicate results and deliverables to internal and external stakeholders
  • Research industry trends to drive areas for improvement.

Benefits

  • Competitive salary and significant equity
  • Hands-on experience at a fast-growing company with clear career growth pathways
  • Opportunity to work alongside top-tier engineers, data scientists, and privacy experts.
Full Job Description
Employee Location: Boulder, CO

Reporting To: VP of Data Science & AI

Job Type: Full-time, Hybrid in office Boulder, CO

Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship

THE OPPORTUNITY

We are seeking a Data Science Manager to lead a team of data scientists and drive the development and deployment of innovative disease modeling approaches using rigorous statistical, epidemiological, and machine learning techniques. These models will be used for privacy-first pharmaceutical commercialization. The ideal candidate will have experience developing and deploying models into production, experience in a player-coach role turning innovative research projects into products, and the ability to evangelize data science and create vision and motivation. You will work closely with cross-functional leaders to define and execute on our product strategy.

KEY RESPONSIBILITIES
• Work with cross functional leadership to understand business needs and prioritize the most impactful projects to develop products that drive business impact
• Lead large-scale data science projects from planning to execution and delivery of productionized ML/AI models
• Build and retain a team of high performing data scientists
• Communicate about results and deliverables to internal and external stakeholders
• Research industry trends and standards to proactively drive areas of improvement

MINIMUM QUALIFICATIONS
• PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience)
• 7+ years of experience building machine learning or statistical models deployed in production environments
• 2+ years of management experience
• Experience working on healthcare claims and EHR data across a variety of therapeutic areas
• Strong SQL, Python, and best practices for developing code for software products
• Strong statistical and machine learning fundamentals
• Demonstrated ability to translate business priorities into data science products in cross-functional collaboration
• Excellent oral and written communication

PREFERRED QUALIFICATIONS
• Experience translating research into production to build novel deep learning models

WHY JOIN BRANCHLAB?
• Competitive salary + significant equity
• Gain hands-on experience at a fast-growing company, with clear opportunities for career growth
• Work alongside top-tier engineers, data scientists, and privacy experts

If you are a curious and analytical data scientist eager to work with privacy-first healthcare data, we'd love to hear from you.

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