Computational Genomics Phd - Bioinformatics

Mercor; San Francisco (CA); Hybride; GBP 106 000 - 144 000; Plein temps

Résumé du poste

Mercor is seeking a Computational Genomics, Statistical Bioinformatics Expert (PhD) for a remote contract role. You will perform multi-step analyses in computational genomics and translational biomedicine, using R and Python to generate reproducible results.

You will collaborate with AI research specialists and senior scientists, interpret results, and document methods with clear writing. This project emphasizes rigorous data analysis and transparent workflows.

Qualifications

• PhD in computational biology or related field required.
• Deep experience analyzing biological/biomedical data, especially genomics.
• Proficiency in R and Python required.
• Strong foundation in statistics and experimental design.
• Experience with multi-step computational research workflows.
• Clear scientific writing and documentation skills.

Responsabilités

• Perform multi-step analyses in computational genomics, quantitative biology, and translational biomedicine.
• Inspect datasets, conduct quality control, and run analyses in R and Python.
• Identify analytical decisions and potential confounders in ambiguous workflows.
• Use scientific software, code, and CLI tools to generate reproducible results.
• Interpret results in biological/ translational context and document assumptions.

Connaissances

R

Python

Statistical modeling

Experimental design

Computational workflows

Scientific writing

Formation

PhD in computational biology

Description du poste

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