Sr. Biological Data Scientist

BridgeBio Pharma, Inc.•San Francisco, CA

49d•Remote

About The Position

In 2015, we pioneered a "moneyball for biotech" approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. You will lead integrative, multi-omics analyses spanning structural biology, proteomics, and other data types to accelerate therapeutic discovery in rare and genetically defined diseases. Working independently in a dynamic, data-driven environment, you will identify analytical opportunities, design computational approaches, and develop solutions that connect insights across modalities. The ideal candidate combines broad scientific fluency with strong Python-based engineering skills and a proactive, self-directed work style.

Requirements

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

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

Benefits

Market leading compensation
401K with 100% employer match on first 3% & 50% on the next 2%
Employee stock purchase program
Pre-tax commuter benefits
Referral program with $2,500 award for hired referrals
Comprehensive health care with 100% premiums covered - no cost to you and dependents
Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)
Hybrid work model - employees have the autonomy in where and how they do their work
Unlimited flexible paid time off - take the time that you need
Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents
Flex spending accounts & company-provided group term life & disability
Subsidized lunch via Forkable on days worked from our office
People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching
We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities