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Volunteer Genomics Data Scientist Jobs (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ... As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ... As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ... As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks.

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Volunteer Genomics Data Scientist information

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$165K

$243.5K

How much do volunteer genomics data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for volunteer genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
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Volunteer Genomics Data Scientist jobs near you
Infographic showing various Volunteer Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 21 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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