Senior Scientist I, Computational Biology

Maze Therapeutics • South San Francisco, CA

3h • Hybrid

About The Position

Maze Therapeutics is looking for a Senior Scientist, Computational Biology to play a critical role in strengthening and expanding our Computational Biology capabilities within the Translational Genomics group. Reporting to the Director of Computational Biology, you’ll collaborate closely with colleagues across Human Genetics, Functional Genomics, Translational Sciences, Biology, and Drug Discovery to drive impactful research. In this role, you’ll help shape the next chapter of our computational strategy, building pipelines, setting best practices, and turning complex data into insights that guide real decisions. If you’re excited about applying cutting-edge science to make a difference for patients, we’d love to hear from you.

Requirements

• PhD in Computational Biology, Human Genetics, Bioinformatics or related field, with 4+ years in computational biology or drug development (industry experience preferred).
• Hands-on expertise analyzing and interpreting data from RNA-seq, single cell/single-nucleus technologies, spatial transcriptomics, long read RNA-seq, and DRUG-Seq (or similar).
• Proven ability to build scalable, reproducible pipelines and analyzing single cell/nucleus data to answer mechanism of action questions.
• Familiarity with machine learning methods applied to omics drug-discovery, with practical experience in selecting appropriate models and validating results.
• A track record of making impactful contributions to early- and late-stage research programs, including refining computational workflows, developing new methods, and delivering analyses that inform decisions
• Understanding of molecular biology techniques and assays used to generate transcriptomics data
• Strong communication skills and proven ability to collaborate effectively with cross-functional teams

Responsibilities

• Drive Innovation: You’ll bring fresh ideas and implement cutting-edge computational approaches to accelerate our understanding of biological pathways and genetic effects in human disease.
• Lead Multiomics Analysis: Conduct comprehensive analyses of internal and external genomics, single cell/nucleus, spatial transcriptomics, proteomics and metabolomics data to drive actionable insights that advance drug discovery and translational programs.
• Collaborate Across Teams: Partner with Genetics, Functional Genomics, Translational Sciences, and Biology teams to design studies and integrate computational and experimental data.
• Build Pipelines: Design, implement, and maintain robust, reproducible workflows to address complex biological challenges, such as characterizing disease-associated genetic variants and understanding drug effects on biological pathways.

Benefits

• Maze offers a robust benefits package to our eligible employees including competitive medical, dental, and vision insurance, mental health offerings, equity incentive plan, 401(k) program with employer match and a generous holiday and PTO policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees