Senior Biological Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, implement, and analyze integrative computational studies encompassing transcriptomic, proteomic, genetic, and various biological data types.

• Assist in target identification, biomarker discovery, mechanism-of-action investigations, and translational research efforts.

• Combine public and internal datasets to create, prioritize, and refine therapeutic hypotheses across a range of disease programs.

• Work collaboratively with interdisciplinary scientists to convert computational analyses into actionable scientific insights.

• Present findings through presentations, written reports, scientific publications, and conferences.

• Spot opportunities where diverse biological data can resolve complex scientific inquiries.

• Formulate therapeutic hypotheses and progress biomarker discovery initiatives.

• Utilize AI-driven computational methods while exercising sound scientific judgment.

⛳️ Requirements

• PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative field.

• Over 5 years of experience in industry and/or postdoctoral positions applying computational techniques to large-scale biological datasets.

• Proven experience in integrating transcriptomic, proteomic, genetic, and other biological datasets.

• Background in supporting biomarker discovery, translational research, or target identification within a biotechnology or pharmaceutical context.

• Proficiency in Python for scientific computation and data analysis.

• Capacity to quickly learn new disease domains, identify suitable datasets, and synthesize diverse evidence into actionable scientific insights.

• Exceptional communication skills.

• Ability to excel as an independent contributor in a collaborative, dynamic research setting.

• Experience with transcriptomic techniques, particularly single-cell RNA sequencing (preferred).

• Familiarity with spatial transcriptomics or related cellular profiling technologies (strongly preferred).

• Experience utilizing large language models and agentic AI workflows for computational biology research, with scientific validation of outputs (preferred).

• In-depth expertise in at least one area of computational biology while contributing broadly to multiomics analyses (preferred).

• Willingness to travel periodically to GondolaBio's Palo Alto office or conference venues as necessary.

🏝️ Benefits

• Patient Days offering opportunities to engage directly with individuals experiencing relevant conditions.

• Culture driven by company values.

• Decentralized structure minimizing bureaucracy and promoting science-focused decision-making.

• Ownership of program and career aspirations.

• Collaborative, fast-paced, data-centric environment.

• Access to learning and professional development resources.

• Comprehensive and competitive compensation and benefits package.

• Performance bonuses.

• Equity options.

• Health and welfare programs.

• Retirement plans.

• Flexible paid time off.

• Rapid career progression opportunities for high achievers.

• Potential to engage in multiple GondolaBio Pharma programs across various therapeutic areas.

• Commitment to Diversity, Equity & Inclusion.