Computational Biologist
Remote - United States
About BridgeBio
BridgeBio is a biopharmaceutical company founded to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases and cancers with clear genetic drivers. We bridge the gap between remarkable advancements in genetic science in academic institutions and the delivery of meaningful medicines to patients. Founded in 2015, the company has built a portfolio of 20+ drug development programs ranging from preclinical to late-stage development in multiple therapeutic areas including genetic dermatology, precision oncology, cardiology, endocrinology, neurology, pulmonology, and renal disease, with two approved drugs.
Our focus on scientific excellence and rapid execution aim to translate today’s discoveries into tomorrow’s medicines. We have U.S. offices in San Francisco, Palo Alto, and Raleigh, with small satellites in other parts of the country. We also have international offices in Montreal, Canada, and Zurich, Switzerland, and are expanding across Europe.
To learn more about our story and company culture, visit us at https://bridgebio.com
Who You Are
The Data Science and Operations team is seeking a full-time Computational Biologist to join our multidisciplinary team at BridgeBio. This individual will play a key role in developing and analyzing simulation models, spanning from disease biology to financial modeling, to support strategic decision-making across R&D and business operations.
The ideal candidate will have expertise in mathematical modeling, systems biology, and data science to generate insights that enhance our understanding of disease biology, guide drug development, and assess the financial impact of internal strategies. This role requires strong collaboration with biologists, data scientists, and business development strategists to optimize drug discovery and development efforts.
As part of the Computational Genomics group at BridgeBio, the Data Science and Operations team is dedicated to three key objectives:
- Discovering new opportunities for drug development through the analysis of human genetic data
- Providing data science and bioinformatics support to core program affiliates
- Building a data platform to facilitate data-driven decision-making in internal drug development
To achieve these goals, the team designs, develops, maintains, and operates software tools and data processing systems, enabling the analysis of scientific and business data for insightful discoveries.
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
No matter your role at BridgeBio, successful team members are:
- Patient Champions, who put patients first and uphold strict ethical standards
- Entrepreneurial Operators, who drive toward practical solutions and have an ownership mindset
- Truth Seekers, who are detailed, rational, and humble problem solvers
- Individuals Who Inspire Excellence in themselves and those around them
- High-quality executors, who execute against goals and milestones with quality, precision, and speed
Education, Experience & Skills 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.
- Skills
- 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.
- 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.
What We Offer
- 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. Learn more about how we do this here
- 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 – 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
Job Profile
- Analyze drug mechanisms
- Communicate modeling results
- Design financial modeling frameworks
- Develop computational models
Bioinformatics Clinical Development Clinical trials Collaboration Communication Computational Biology Data analysis Data interpretation Data processing Data Science Financial modeling Genomics Mathematical modeling Pharmaceutical Software tools Statistical analysis Version Control Visualization
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9