Computational Genomics Phd - Bioinformatics
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-17
Listing for:
Mercor
Full Time
position Listed on 2026-10-17
Job specializations:
-
Research/Development
Data Scientist, Research Scientist, Genetics / Genomics, AI Evaluation
Job Description & How to Apply Below
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark
, General Catalyst
, Peter Thiel
, Adam D'Angelo
, Larry Summers
, and Jack Dorsey
.
Position: Computational Genomics, Statistical Bioinformatics Expert (PhD)
Type:
Contract
Compensation: $120/hour
Location:
Remote
- Complete realistic, multi-step scientific data-analysis tasks in computational genomics
, quantitative biology
, and translational biomedicine
. - Independently inspect datasets, perform quality control, and execute analyses in R and Python
. - Navigate ambiguous research workflows by identifying key analytical decisions and potential confounders.
- Use scientific software, code, and command-line tools to generate reproducible analyses and structured outputs.
- Interpret results in the context of biological or translational questions, communicating assumptions and conclusions.
- Collaborate with a multidisciplinary team of scientists and AI research specialists
.
- PhD in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or related field.
- Deep experience analyzing biological or biomedical data, especially genomics and related omics datasets.
- Professional fluency in R and Python
. - Strong foundation in statistical modeling and experimental design.
- Experience with multi-step computational research workflows.
- Clear scientific writing and documentation skills.
- Familiarity with reproducible research practices, including notebooks, scripts, and version control.
- Project-based engagement
- Competitive, expertise-based pay
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