(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. 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. 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. 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 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 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 supporting biomarker discovery, translational research, or target identification in a biotechnology or pharmaceutical setting. Experience with transcriptomic approaches, particularly single-cell RNA sequencing. Experience with spatial transcriptomics or related cellular profiling technologies isstrongly 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 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. A decentralized 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 GondolaBio Pharma programs across multiple therapeutic areas over time. Commitment to Diversity, Equity & Inclusion. Compensation The base pay range for this position is $155,000 to $205,000 per year. The actual compensation offered will be determined based on a number of job-related factors, including experience, skills, qualifications, and location. A bonus plan and equity will also be offered. Equal Employment Opportunity GondolaBio ServiceCo is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Employees of BridgeBio and all affiliated companies should work through their managers to inquire about and learn more about this role. As a global company, our comprehensive benefits may vary based on location. We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. For BridgeBio Full-Time U.S Based Roles: Financial & Rewards Market-leading compensation 401(k) with employer match Employee Stock Purchase Program (ESPP) Pre-tax commuter benefits

(transit and parking) Referral bonus

for hired candidates Subsidized lunch and parking

on in-office days Health & Well-Being 100% employer-paid medical, dental, and vision premiums

for you

and

your dependents Health Savings Account (HSA)

with annual employer contributions, plus

Flexible Spending Accounts (FSA) Fertility & family-forming benefits Expanded mental health support

(therapy and coaching resources) Hybrid work model

with flexibility Flexible, “take-what-you-need” paid time off

and company-paid holidays Comprehensive paid medical and parental leave

to care for yourself and your family Skill Development & Career Paths: People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, & BetterUp Coaching We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities By applying, you acknowledge that BridgeBio will process your personal information as described in our Global Candidate Privacy Notice. Questions or requests: View email address on click.appcast.io