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ML Research Scientist - Computational Biologist/Bioinformatics

Merge Labs· Bioengineering
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San Francisco Bay Area$235k - $270kFull-timePosted 2w ago

About the role

Senior / Principal Computational Biologist (Bioinformatics / Omics) to lead design and deployment of large-scale omics pipelines, integrate multi-modal biological data, and collaborate with ML teams to uncover mechanistic and predictive insights.

Responsibilities

  • Build the scientific and engineering scaffolding for bioinformatics and computational biology writ-large. Design, optimize, and maintain pipelines for genomics, transcriptomics, and proteomics data.
  • Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints.
  • Prototype modeling frameworks using internal and public datasets; benchmark and validate performance.
  • Serve to non-domain experts for democratization of first-principles analysis
  • Stay up-to-date with the latest research in computational biology and prototype novel algorithms that can be deployed to improve the company’s discovery or development workflows.
  • Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

Qualifications

  • Deep experience with omics data analysis (bulk and single-cell) and bioinformatics pipelines.
  • Expertise in Python and/or R; fluency with workflow management tools (e.g. Nextflow / Dagster)
  • Proficiency in Python / PyTorch / Jax and comfort writing clean, reproducible production grade code.
  • Experience bridging computational biology and experimental science—working with sparse, noisy, and or high-cost data.
  • A collaborative, systems-level mindset.

Skills

Required:Omics data analysis (bulk and single-cell)PythonWorkflow management toolsPyTorch / JaxCollaborative, systems-level mindset
Nice to have:R

Benefits

  • Offers Equity
Last updated Oct 7, 2026. Interested? Apply on the company site.
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Meet Merge Labs – a research lab with the long-term mission of bridging biological and artificial intelligence to maximize human ability, agency, and experience.

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