Data Science Leader for Protein Interaction Research

2 days ago


Seattle, Washington, United States A-Alpha Bio Full time

A-Alpha Bio is a biotechnology company that combines synthetic biology and machine learning to unlock protein-protein interactions.

About the Role

We are seeking a seasoned Director of Applied Data Science to lead our team of skilled data scientists in harnessing the power of A-Alpha's proprietary data platform and machine learning capabilities.

Key Responsibilities
  • Grow and manage a high-performing team of data scientists working on computational analysis of internal and external projects.
  • Represent A-Alpha to external stakeholders by leading data science efforts for major partnerships.
  • Identify methodological improvements and new scientific objectives within areas of expertise.
Requirements
  • PhD in a related field with 10+ years of experience and 5+ years of management experience.
  • Direct experience in statistical treatment of high-throughput biological data and application of deep learning to high-throughput biological sequence data.
  • Familiarity with state-of-the-art machine learning techniques in at least one area: antibody or protein engineering, drug discovery, NGS-based assays, and/or synthetic biology.
Preferred Qualifications
  • Experience with contracting, business development, and alliance management in pharma/biotech partnerships.
  • Experience creating and maintaining deployment pipelines with CI/CD tools.
  • Expertise with Python, Pandas, Pytorch, and Amazon Web Services.

We offer a competitive compensation package, including benefits, flexible time off, and equity in a fast-growing start-up. The estimated salary for this role is $220,000 - $245,000 annually.



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