Job description
About the job
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
Role Responsibilities
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.
Qualifications
Must-Have
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.
Preferred
Familiarity with reproducible research practices, including notebooks, scripts, and version control.
Compensation & Legal
Project-based engagement
Competitive, expertise-based pay
Application Process (Takes 20–30 mins to complete)
Upload resume
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Resources & Support
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Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.