Sr. Biological Data Scientist

Role Summary

Senior Biological Data Scientist focused on leading integrative, multi-omics analyses (structural biology, proteomics, and other data types) to accelerate therapeutic discovery in rare and genetically defined diseases. You will design computational approaches, develop scalable Python-based solutions, and connect insights across modalities in a fast-paced, data-driven environment. The role requires independent work, proactive problem solving, and strong cross-disciplinary communication.

Responsibilities

• Design and execute computational analyses focused on structural biology and proteomics, while routinely extending to additional omics and data domains
• Develop and maintain robust Python codebases and packages that support reproducible and scalable analyses
• Apply statistical and computational methods, including selective use of AI/ML where appropriate, to derive interpretable biological insights
• Work independently to define analytical goals, prioritize efforts, and deliver solutions that advance translational and program objectives
• Stay current with evolving multi-omics technologies and computational tools, introducing innovative methods where they can add value
• Communicate key findings clearly through reports, visualizations, and presentations to technical and non-technical audiences

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Systems Biology, Data Science, or a related field
• 3+ years of postdoctoral or industry experience working with large-scale human omics data
• Broad experience across computational biology, with strength in structural biology and/or proteomics and the ability to connect across diverse modalities
• Strong Python software development skills, including package development or contributions to shared repositories with multiple collaborators
• Proven ability to work independently, take initiative, and drive projects from concept to completion
• Solid grounding in statistics and data science, with experience analyzing high-dimensional biological data
• Familiarity with AI/ML approaches for data exploration or interpretation, with sound judgment on when and how to apply them
• Excellent communication skills and ability to deliver results in a fast-moving, cross-disciplinary environment

Skills

• Python software development and packaging
• Bioinformatics and computational biology
• Statistical learning and data analysis
• AI/ML methods for data exploration or interpretation
• Data visualization and scientific communication

Education

• Ph.D. in a relevant field (as listed in Qualifications)

Additional Requirements

• This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio’s San Francisco office or conference locations