Senior Scientist I, Computational Biology

Company: Maze Therapeutics
Location: South San Francisco
Posted on: January 9, 2026

Job Description:

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. The Impact You’ll Have 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. What We’re Looking For 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 About Maze Therapeutics 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 is advancing a pipeline using its Compass platform, which allows it to identify and characterize genetic variants in disease and then link 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, MZE829 and MZE782, each of which represents a novel precision medicine-based approach for chronic kidney disease. Maze is based in South San Francisco. Our People Maze is comprised of a team of passionate and creative professionals committed to discovering and delivering transformative medicines to patients suffering from both rare and common genetic diseases. We are fostering a culture that encourages vision, initiative and the development of talent. Our supportive work environment inspires creative thinking and freedom of expression, resulting in a stimulating atmosphere where people enjoy coming to work. While we have a passion for advanced science and pride ourselves on excellence in execution, ultimately, everything we do is about patients. Our Core Values 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. The expected annual salary range for employees located in the San Francisco Bay Area is $178,000 - $215,000. Additionally, this position is eligible for an annual performance bonus. Maze performs position-based compensation benchmarking to industry market data to ensure we pay competitive wages. Determination of starting salary will depend upon a variety of job-related factors, which may include professional experience, skills, and job location. The expected salary range for this role may be modified in the future. 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. LI-Hybrid

Keywords: Maze Therapeutics, San Francisco , Senior Scientist I, Computational Biology, Science, Research & Development , South San Francisco, California