Senior Biological Data Scientist

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. 

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.

Responsibilities

• Design, execute, and interpret integrative computational analyses spanning transcriptomic, proteomic, genetic, and other biological data modalities to support target identification, biomarker discovery, mechanism-of-action studies, and translational research.
• 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.

Where You'll Work

This is a U.S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office or conference locations.

Who You Are

Required:

• PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline with 5+ years of industry and/or postdoctoral experience applying computational methods to large-scale biological datasets.
• Demonstrated experience integrating transcriptomic, proteomic, genetic, and related biological datasets to answer complex scientific questions.
• Experience supporting biomarker discovery, translational research, or target identification in a biotechnology or pharmaceutical setting.
• 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 integrating diverse evidence into actionable scientific insights.
• Excellent communication skills and the ability to thrive as an independent contributor in a collaborative, fast-moving research environment.

Preferred:

• Experience with transcriptomic approaches, particularly single-cell RNA sequencing. Experience with spatial transcriptomics or related cellular profiling technologies is strongly preferred.
• Experience using large language models and agentic AI workflows to accelerate computational biology research, with appropriate scientific validation of outputs.
• Deep expertise in at least one area of computational biology while contributing broadly across multiomics analyses.

What We Offer 

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