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Remote Genomics Data Scientist Jobs (NOW HIRING)

Paradigm Health

Informatics Senior Data Scientist

Experience with biomarker and/or genomic ontologies or terminologies * Familiarity with healthcare ... Experience with data science tools, programming languages (e.g., Python, R, SQL) At Paradigm Health ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

... genomics, clinical, demographic), driving impactful data visualization and advancing our ... Work closely with other departments such as R&D, Data Science, Business Development, Medical ...

Natera

Staff Scientist, Bioinformatics/RWD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting ... Proven expertise in bioinformatics, particularly in genomics data analysis. Demonstrated expertise ...

Baylor Genetics

Clinical Genomic Scientist - WGS

JOB SUMMARY The Clinical Genomics Scientist II analyzes clinical genetics data, curates variants and genes, and summarizes findings for clinical reports. Our scientists assist laboratory directors ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

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Remote Genomics Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Aug 20, 2026, the average yearly pay for remote genomics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote genomics data scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.

How does a remote genomics data scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What are the key skills and qualifications needed to thrive as a remote genomics data scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

What is the difference between Remote Genomics Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

More about Remote Genomics Data Scientist jobs

What cities are hiring for Remote Genomics Data Scientist jobs?

Cities with the most Remote Genomics Data Scientist job openings:

What are the most commonly searched types of Genomics Data Scientist jobs?

The most popular types of Genomics Data Scientist jobs are:

What states have the most Remote Genomics Data Scientist jobs?

States with the most job openings for Remote Genomics Data Scientist jobs include:

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The top searched job categories for Remote Genomics Data Scientist jobs are:

Remote Genomics Data Scientist jobs near you
Infographic showing various Remote Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 28 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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