Senior Biological Data Scientist

GondolaBio

Computational biology scientist integrating multiomics and AI analyses for GondolaBio’s genetic-disease therapeutics. Supporting target identification, biomarker discovery, and translational research.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $155,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Computational Biology and Bioinformatics, with a strong focus on integrating diverse biological datasets for therapeutic hypothesis generation and biomarker discovery. Proficient in Python for scientific computing and experienced in leveraging AI-enabled computational approaches in a collaborative research environment.

Highest-signal resume keywords

PhD In Computational Biology5+ Years Experience In Computational MethodsTranscriptomic And Proteomic Data IntegrationBiomarker Discovery And Translational ResearchPython For Scientific Computing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Computational AnalysisData IntegrationBiomarker DiscoveryTranslational ResearchSingle-Cell RNA SequencingSpatial TranscriptomicsLarge Language ModelsAgentic AI WorkflowsMultiomics AnalysesScientific Validation

Soft Skills

Excellent Communication SkillsIndependent ContributorCollaborative TeamworkRapid Learning Ability

Industry Keywords

BiotechnologyPharmaceuticalTranscriptomic ApproachesGenetic DataBiological Data ModalitiesTherapeutic HypothesesCross-Functional CollaborationScientific PublicationsResearch EnvironmentData Analysis

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, execute, and interpret integrative computational analyses spanning transcriptomic, proteomic, genetic, and other biological data modalities
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 with cross-functional scientists to translate computational analyses into actionable scientific insights
Communicate results through presentations, written reports, scientific publications, and conferences
Identify opportunities where diverse biological data can answer challenging scientific questions
Generate therapeutic hypotheses and advance biomarker discovery
Leverage AI-enabled computational approaches while applying sound scientific judgment

Requirements

What you’ll need

PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline
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
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
Ability to rapidly learn new disease areas, identify appropriate datasets, and integrate diverse evidence into actionable scientific insights
Excellent communication skills
Ability to thrive as an independent contributor in a collaborative, fast-moving research environment
Experience with transcriptomic approaches, particularly single-cell RNA sequencing (preferred)
Experience with spatial transcriptomics or related cellular profiling technologies (strongly preferred)
Experience using large language models and agentic AI workflows for computational biology research, with scientific validation of outputs (preferred)
Deep expertise in at least one area of computational biology while contributing broadly across multiomics analyses (preferred)
Periodic travel quarterly or as needed to GondolaBio's Palo Alto office or conference locations

Benefits

Comp & perks

Patient Days with opportunities to hear directly from individuals living with relevant conditions
Culture inspired by company values
Decentralized model with reduced bureaucracy and science-focused decision-making
Ownership of program and career vision
Collaborative, fast-paced, data-driven environment
Access to learning and development resources
Robust and market-competitive compensation and benefits package
Performance bonus
Equity
Health and welfare programs
Retirement programs
Flexible PTO
Rapid career advancement for strong performers
Potential ability to work on multiple GondolaBio Pharma programs across multiple therapeutic areas
Commitment to Diversity, Equity & Inclusion