Summary
Join BridgeBio's Data Science and Operations team as a Computational Biologist. You will develop and analyze simulation models for disease biology and financial modeling to support strategic decision-making. This role requires expertise in mathematical modeling, systems biology, and data science. Collaborate with biologists, data scientists, and business development strategists to optimize drug discovery and development. The team focuses on discovering new drug development opportunities, providing data science support, and building a data platform. BridgeBio offers a collaborative, fast-paced environment with access to learning and development resources and a competitive compensation and benefits package.
Requirements
- Minimum Education requirement Ph.D. in Computational Biology, Systems Biology, Bioinformatics, Biophysics, Applied Mathematics, or a related field
- Relevant Experience 3 + years of experience as a Computational Biologist, Bioinformatics Scientist, Data Scientist or similar role
- Strong background in mathematical modeling, differential equations, stochastic processes, and statistical analysis
- Strong proficiency in Python, which includes Developing stand-alone libraries
- Expert knowledge with data analysis workflows and visualization techniques
- Knowledge of relational databases
- Strong data interpretation skills and ability to integrate heterogeneous datasets into predictive models
- Familiarity with AWS cloud computing services such as EC2 and S3
- Version control with git
- Excellent communication skills and the ability to work in a cross-functional team environment
Responsibilities
- Develop and analyze computational models of disease biology, drug mechanisms, and treatment outcomes to support preclinical and clinical development
- Design and implement financial modeling frameworks to evaluate investment potentials and R&D resource allocation
- Stay up to date with advances in computational biology, mathematical modeling, and pharma industry trends to refine and enhance modeling strategies
- Communicate complex modeling results through visualizations, presentations, and reports for both technical and non-technical stakeholders
- Ensure reproducibility and transparency in modeling workflows through good coding practices, documentation, and version control
Preferred Qualifications
- Any experience with the following is a plus: Human genetics data
- Understanding of the pharmaceutical R&D process, including drug discovery, clinical trials, and regulatory considerations
- Familiarity with Monte Carlo simulations, Bayesian inference, or optimization methods
- Experience with the UK Biobank, All of Us Research Program
Benefits
- Patient Days, where we are fortunate to hear directly from individuals living with the conditions we are seeking to impact throughout the year and learn how we can improve our efforts
- A culture inspired by our values: put patients first, think independently, be radically transparent, every minute counts, and let the science speak
- An unyielding commitment to always putting patients first
- A de-centralized model that enables our program teams to focus on advancing science and helping patients. Our affiliate structure is designed to eliminate bureaucracy and put decision-making power in the hands of those closest to the science
- A place where you own the vision β both for your program and your own career path
- A collaborative, fast-paced, data-driven environment where we inspire ourselves and each other to always perform at the top of our game
- Access to learning and development resources to help you get in the best professional shape of your life
- Robust and market-competitive compensation & benefits package (Base, Performance Bonus, Equity, health, welfare & retirement programs)
- Flexible PTO
- Rapid career advancement for strong performers
- Potential ability to work on multiple BridgeBio Pharma programs across multiple therapeutic areas over time
- Partnerships with leading institutions
- Commitment to Diversity, Equity & Inclusion