Mazetx
Senior Scientist I, Computational Biology
Mazetx, San Francisco, California, United States, 94199
Senior Scientist I, Computational Biology
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.
The Impact You’ll Have
Drive Innovation:
bring fresh ideas and implement cutting‑edge computational approaches to accelerate understanding of biological pathways and genetic effects in human disease.
Lead Multi‑omics 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 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.
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 advances a pipeline using its Compass platform, which enables identification and characterization of genetic variants in disease and linking those variants to the biological pathways that drive disease in specific patient groups through a process called variant functionalization. The 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.
#J-18808-Ljbffr
The Impact You’ll Have
Drive Innovation:
bring fresh ideas and implement cutting‑edge computational approaches to accelerate understanding of biological pathways and genetic effects in human disease.
Lead Multi‑omics 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 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.
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 advances a pipeline using its Compass platform, which enables identification and characterization of genetic variants in disease and linking those variants to the biological pathways that drive disease in specific patient groups through a process called variant functionalization. The 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.
#J-18808-Ljbffr