Computational Genomics PhD - Bioinformatics

mercor; Deutschland; Remote; EUR 133,000 - 162,000; Part time

Job summary

Mercor seeks a Computational Genomics, Statistical Bioinformatics Expert (PhD) for a contract, remote role. You will perform multi-step analyses in genomics and translational biomedicine, using R and Python, and collaborate with AI researchers in a multidisciplinary team.

The role requires a PhD in a relevant field, deep experience with omics data, and strong skills in statistical modeling, experimental design, and reproducible research practices.

Qualifications

• PhD required in relevant field.
• Deep experience analyzing biological or biomedical data.
• Proficiency in R and Python.

Responsibilities

• Complete multi-step analyses in computational genomics and translational biomedicine.
• Inspect datasets, perform quality control, and execute analyses in R and Python.
• Identify analytical decisions and potential confounders in ambiguous workflows.
• Use scientific software, code, and CLI tools to generate reproducible analyses and outputs.
• Interpret results in context of biological questions, communicating assumptions and conclusions.
• Collaborate with a multidisciplinary team of scientists and AI researchers.

Skills

Statistical modeling

Experimental design

Biological data analysis

Scientific writing

Multi-step computational workflows

Education

PhD in computational biology / bioinformatics / related field

Tools

R

Python

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

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