Develop and apply advanced computational methods to enable target discovery, validation, and biomarker identification across multimodal datasets
Integrate diverse biological data types, including bulk, single-cell, and spatial omics
Identify cell-type-specific and disease-relevant targets and characterize their cellular context
Characterize gene function, pathway dependencies, and mechanisms of action
Develop and apply computational frameworks for variant-to-gene-to-function inference
Translate computational analyses into clear, testable biological hypotheses
Collaborate closely with experimental scientists, computational biologists, and cross-functional teams
Drive digital innovation by identifying gaps in analytical workflows and developing robust solutions.

Requirements

PhD in computational biology, bioinformatics, statistics, computer science, data science, or a related quantitative discipline [and relevant post-doc where applicable]
Or Master’s degree and 3 years of directly related experience
Or Bachelor’s degree and 5 years of directly related experience
Strong foundation in computational biology methods, including statistical modeling and AI/ML
Experience working with large-scale biological data, including long-read RNA sequencing, single-cell multi-omics, spatial omics, perturbation screens (e.g., Perturb-seq), translatomics (e.g., Ribo-Seq), proteomics, and/or epigenomic data (e.g., Hi-C, ATAC-seq)
Proven ability to develop novel computational methods that generate tractable biological insights from integrating complex datasets
Familiarity with disease tissue biology
Strong programming skills in Python, R, or similar languages
Creative, open-minded, and passionate about research.
Excellent communication and collaboration skills.

Benefits

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible.

Applicant Tracking System Keywords

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

Hard Skills & Tools

computational biologybioinformaticsstatistical modelingAI/MLlong-read RNA sequencingsingle-cell multi-omicsspatial omicsperturbation screenstranslatomicsproteomics

Soft Skills

communicationcollaborationcreativityopen-mindednesspassion for research

Certifications

PhD in computational biologyMaster’s degreeBachelor’s degree