Senior Scientist , Computational Biology

Senior Scientist I, Computational Biology

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.

• Drive innovation by implementing cutting‑edge computational approaches to accelerate our understanding of biological pathways and genetic effects in human disease.
• Lead multi‑omics analysis, conducting 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, partnering with Genetics, Functional Genomics, Translational Sciences, and Biology to design studies and integrate computational and experimental data.
• Build pipelines, designing, implementing, and maintaining robust, reproducible workflows to address complex biological challenges, such as characterizing disease‑associated genetic variants and understanding drug effects on biological pathways.

• Ph.D. in Computational Biology, Human Genetics, Bioinformatics, or a 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 analyze single‑cell/nucleus data to answer mechanism‑of‑action questions.
• Familiarity with machine‑learning methods applied to omics drug‑discovery, with practical experience selecting appropriate models and validating results.
• 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.

Maze Therapeutics is a clinical‑stage biopharmaceutical company harnessing the power of human genetics to develop novel, small‑molecule precision medicines for patients living with renal, cardiovascular and related metabolic diseases, including obesity. The company advances a pipeline using its Compass platform, which identifies and characterizes genetic variants in disease and links those variants to the biological pathways that drive disease in specific patient groups through a process it refers to as variant functionalization.

The company’s pipeline is led by two wholly owned lead programs, MZE
829 and MZE
782, each of which represents a novel precision‑medicine‑based approach for chronic kidney disease. Maze is based in South San Francisco.

• Further Together – Our path is paved with challenges, but with resilience and a team‑first mentality, we’ll achieve our mission.
• Impact Obsessed – We embrace the bold, take calculated risks, and learn from our mistakes to improve the lives of others.
• Stand True – Our integrity is foundational; it guides us no matter the obstacle.

Expected annual salary range for employees located in the San Francisco Bay Area: $178,000 – $215,000. This position is eligible for an annual performance bonus.

Maze offers a robust benefits package to 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.