Senior) Biological Data Scientist

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’llask"why not?" and help reengineer the future of biopharma. At Bridge Bio, 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.

Gondola Bio is a clinical-stage biopharmaceutical company focused on developing breakthrough therapeutics for genetic diseases. Gondola Bio is an independent sister company to Bridge Bio, originally carved out in 2024 after securing $300M in private financing from external investors. Gondola Bio aims to leverage cutting‑edge biological research to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases.

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.

• 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.
• Analyze and integrate public and internal datasets to generate, prioritize, and refine therapeutic hypotheses across diverse disease programs.
• Collaborate closely with cross-functional scientists to translate computational analyses into actionable scientific insights.
• Communicate results clearly and effectively through presentations, written reports, and contributions to scientific publications and conferences.

This is a U.S.

-based remote role with periodic travel (quarterly or as needed) to Gondola Bio's Palo Alto office or conference locations.

• PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline with 2+ (5+ for Senior) years of industry and/or postdoctoral experience applying computational methods to large‑scale biological datasets.
• Demonstrated experience analyzing transcriptomic, proteomic, genetic, and/or related biological datasets to answer complex scientific questions.
• Working proficiency in Python for scientific computing and data analysis. Comfortable tackling unfamiliar biological problems by rapidly learning new disease areas, identifying appropriate datasets, and…