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How much do computational genomics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational genomics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a computational genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

What does a computational genomics specialist do?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.

What are the key skills and qualifications needed to thrive in computational genomics?

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

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Computational Genomics jobs near you
Infographic showing various Computational Genomics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 53% Full Time, 45% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Genomics PhD - Bioinformatics

Mercor

New York, NY • On-site, Remote

$120/hr

Full-time

Posted 21 hours ago

Posted today

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
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.