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EPM Scientific

Head of Machine Learning

EPM Scientific, Boston

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This range is provided by EPM Scientific. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $350,000.00/yr

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Recruitment Consultant – Discovery Research | ML & AI4Science

Title: Head of Machine Learning

Location: Boston, MA (preferred) OR San Francisco, CA

EPM Scientific is proud to partner with a cutting-edge biotech company applying advanced machine learning to revolutionize therapeutic discovery. As a Founding Machine Learning Researcher , you'll join a small, elite team of AI scientists, drug discovery experts, and seasoned biotech leaders working at the intersection of technology and medicine.

This is a rare opportunity to help build the foundational technology of a company focused on translating AI into real-world therapies. You'll work directly with the founding team, contribute to the scientific direction, and receive founder-level equity -reflecting the impact and ownership expected from early team members.

What You'll Do

Title: Head of Machine Learning

Location: Boston, MA (preferred) OR San Francisco, CA

Salary: $250,000-$350,000

Equity: Founder-level stock

EPM Scientific is proud to partner with a cutting-edge biotech company applying advanced machine learning to revolutionize therapeutic discovery. As a Founding Machine Learning Researcher , you'll join a small, elite team of AI scientists, drug discovery experts, and seasoned biotech leaders working at the intersection of technology and medicine.

This is a rare opportunity to help build the foundational technology of a company focused on translating AI into real-world therapies. You'll work directly with the founding team, contribute to the scientific direction, and receive founder-level equity -reflecting the impact and ownership expected from early team members.

What You'll Do
  • Design and implement novel ML architectures for modeling biological sequences, structures, and interactions.
  • Analyze large-scale, noisy biological datasets to uncover therapeutic insights.
  • Collaborate with a multidisciplinary team to translate models into real drug programs.
  • Help shape the company's technical roadmap and research strategy.
Basic Qualifications
  • Ph.D. or equivalent research experience in Machine Learning, Computer Science, Computational Biology, or a related field.
  • Strong programming skills in Python and experience with deep learning frameworks like PyTorch.
  • Proven ability to develop, train, and evaluate machine learning models.
  • Experience working with high-dimensional biological or scientific data.
  • Excellent communication and collaboration skills.
  • Significant contribution / impact to AI/ML measured via open source collaborations or works publised in top-tier AI / Scientific venues

Seniority level

  • Seniority level

    Director

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Research

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