(Senior) Biological Data Scientist

About this role

Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on 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.

At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work. We are considering candidates at multiple experience levels, with title and responsibilities commensurate with experience. About GondolaBio GondolaBio is a clinical-stage biopharmaceutical company focused on developing breakthrough therapeutics for genetic diseases. GondolaBio is an independent sister company to BridgeBio, originally carved out in 2024 after securing $300M in private financing from external investors.

GondolaBio aims to leverage cutting-edge biological research to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases. What You'll Do You will design and execute integrative computational analyses spanning multiomics datasets to accelerate therapeutic discovery in rare and genetically defined diseases. Working independently in a collaborative, data-driven environment, you will identify opportunities where diverse biological data can answer challenging scientific questions, generate therapeutic hypotheses, and advance biomarker discovery.

You will leverage AI- enabled computational approaches to accelerate scientific discovery while applying sound scientific judgment throughout the research process. Depending on your experience, you will contribute to or independently lead computational analyses across diverse disease programs. Responsibilities Design, execute, and interpret computational analyses spanning transcriptomic, proteomic, genetic, and other biological data modalities to support target identification, biomarker discovery, mechanism-of-action studies, and translational research.