Merge Labs
ML Research Scientist - Computational Biologist/Bioinformatics
$235K–$270K
San Francisco Bay Area · On-site · Full-time · Posted Sep 30, 2026
About the job
Lead the design and deployment of omics pipelines, integrate biological data, and develop ML-informed models to support molecular engineering and experimental discovery.
What you'll do
- Build and maintain genomics, transcriptomics, and proteomics pipelines and analysis frameworks.
- Collaborate with wet-lab scientists to define optimization objectives; prototype, benchmark, and validate modeling approaches.
- Track computational biology research, develop deployable algorithms, and contribute to the research roadmap.
What they ask for
- Deep experience analyzing bulk and single-cell omics data and building bioinformatics pipelines.
- Expertise in Python and/or R, plus proficiency in Python, PyTorch, or Jax.
- Fluency with workflow management tools such as Nextflow or Dagster.
- Experience connecting computational biology with experimental science and working with sparse, noisy, or high-cost data.
Nice to have
- Familiarity with neuroscience.
- Familiarity with transfer-learning paradigms.
Pay
$235K – $270K USD base salary
Tools
Python, R, Nextflow, Dagster, PyTorch, Jax
AI focus
Collaborate with ML teams and develop ML-integrated pipelines and predictive frameworks to uncover biological insights and support molecular discovery.
Model-written summary · the original posting is authoritative