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 Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data. The team provides data driven insights to make critical decisions for pursuing new opportunities and advancing internal development projects across early discovery and clinical stage programs. The successful candidate will be working alongside human geneticists, data scientists as well as experimental biologists for the ultimate goal of developing drugs for genetic diseases with high unmet need. The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, and machine learning.
The Computational Genetics team at BridgeBio has three main goals:
• Initiate and support new drug program opportunities through data-driven approaches not obtainable through reading the literature
• Support clinical-stage programs through analyzing complex multi-omics datasets as well as propose required data and experiments
• Develop and deploy internal data & analysis infrastructure to scale operations across the company
This is a great opportunity for getting broad exposure to the drug development process and working in a growth oriented environment.
Responsibilities
• Evaluate and contextualize the molecular evidence supporting a genetic disease therapeutic hypothesis with relevant human-derived multi-omics data
• Guide strategic cross-functional initiatives for exploratory biomarker analysis for target engagement, patient stratification, surrogate endpoints, etc.
• Design and develop analysis frameworks to utilize data from diverse multiomics sources (ex. Genomics, trancriptomics, epigenomics, proteomics, chemoproteomics, etc.)
• Interact with both technical and non-technical collaborators, including biologists, physicians, geneticists, and business development & asset acquisition specialists, to evaluate new opportunities and derive analysis-based project decisions
• Stay current with state-of-the-art methods and most recent data releases, which will require reading academic papers, reproducing algorithms and methods with or without open-source software and ingesting relevant datasets for analyses across various sources
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
• PhD in Bioinformatics, Computational Biology, Functional Genomics or related discipline with 5+ years of industry experience applying multi-omics data analyses in the human context
• Has direct experience with databases that house multi-omics datasets such as UK Biobank, Human Cell Atlas, Human Protein Atlas, GEO, Expression Atlas, DepMap, etc.
• Understands the limitations of high-throughput data with direct experience in quality control across multiple types of omics data, as well as how to assess quality of summarized results
• Expert level of proficiency in quantitative analyses, including mathematics, statistics and computation
• Able to demonstrate great written and verbal communication skills in conveying analysis results to both experts and non-experts in the field
• Extensive experience with Python focusing on data analysis and familiarity with git version control; hands on experience in developing data processing pipelines and or developing stand-alone libraries is a plus
• Understand
Location: San Francisco, CA
Posted: Aug. 28, 2024, 10:57 p.m.
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