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Remote Variant Scientist Jobs (NOW HIRING)

... scientific publications and conferences Where You'll Work This is a U.S.-based remote role with ... single-variant and gene-based association analyses using WES/WGS/array genotyping data ...

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

... scientists across 150+ R&D labs to handle data from instrument-to-insights. We're seeking a ... Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination ...

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. The Senior ... Required : • Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or ...

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

... scientists across 150+ R&D labs to handle data from instrument-to-insights. We're seeking a ... Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination ...

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

... scientists across 150+ R&D labs to handle data from instrument-to-insights. We're seeking a ... Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination ...

Sr Mobile Infrastructure Engineer II

$111K - $151K/yr

... variant build pipelines and Firebase App Distribution delivery. WHEN & WHERE YOU'LL WORK: Remote ... Bachelor's degree in engineering or computer sciences or related field or equivalent combination of ...

New

... scientific publications and conferences Where You'll Work This is a U.S.-based remote role with ... single-variant and gene-based association analyses using WES/WGS/array genotyping data ...

Our ethos is deeply rooted in science, with an unwavering dedication to continuous improvement. We ... The location is fully remote (US-based) with occasional travel to copackers and suppliers. WHAT YOU ...

Our ethos is deeply rooted in science, with an unwavering dedication to continuous improvement. We ... The location is fully remote (US-based) with occasional travel to copackers and suppliers. WHAT YOU ...

Showing results 21-40

Remote Variant Scientist information

See salary details

$83.5K

$127K

$171K

How much do remote variant scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote variant scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a remote variant scientist?

Remote Variant Scientists are professionals who specialize in analyzing genetic variants, often working from a remote location rather than a traditional laboratory or office. Their primary role involves interpreting genetic data, identifying mutations or variations in DNA, and assessing their potential impact on health and disease. They use bioinformatics tools and collaborate with other scientists and clinicians to provide insights for research, diagnostics, or personalized medicine. Working remotely, they rely heavily on digital communication and secure data platforms to conduct their analyses and share findings.

What skills and qualifications are needed to be a remote variant scientist?

To thrive as a Remote Variant Scientist, you need a strong background in genetics, bioinformatics, and molecular biology, typically supported by an advanced degree (MS or PhD) in a life sciences field. Experience with variant annotation tools, genomic databases, and programming languages like Python or R is essential, alongside familiarity with platforms such as GATK and IGV. Outstanding analytical thinking, attention to detail, and effective remote communication skills help you excel in this collaborative and data-driven environment. These abilities are crucial for accurately identifying clinically relevant genetic variants and contributing to high-impact research or diagnostic efforts from a remote setting.

What collaboration methods do remote variant scientists use to stay connected with their teams?

Remote variant scientists frequently rely on digital collaboration tools like Slack, Zoom, and specialized bioinformatics platforms to communicate findings and discuss project progress. Team meetings are often scheduled regularly to review variants, troubleshoot issues, and plan experiments. Cloud-based data sharing and version control systems help ensure all team members have access to the latest datasets and analysis pipelines. This collaborative environment enables scientists to remain integrated with both local and global teams, despite working remotely.

What is the difference between Remote Variant Scientist vs Remote Data Scientist?

AspectRemote Variant ScientistRemote Data Scientist
Required CredentialsAdvanced degree in biology, genetics, or related field; experience with variant analysisDegree in computer science, statistics, or related; proficiency in programming and data analysis
Work EnvironmentLaboratories, research institutions, or remote analysis of genetic dataRemote or on-site; analyzing large datasets, building models
Industry UsageBiotech, pharmaceuticals, genetics researchTech, finance, healthcare analytics
Common Search/ComparisonYesYes

The Remote Variant Scientist primarily focuses on analyzing genetic variants, requiring expertise in biology and genetics, often working in research or biotech settings. In contrast, the Remote Data Scientist handles large datasets across various industries, emphasizing programming and statistical skills. Both roles can be remote and involve data analysis, but their core expertise and industry focus differ significantly.

More about Remote Variant Scientist jobs

What cities are hiring for Remote Variant Scientist jobs?

Cities with the most Remote Variant Scientist job openings:

What are the most commonly searched types of Variant Scientist jobs?

The most popular types of Variant Scientist jobs are:

What states have the most Remote Variant Scientist jobs?

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

Infographic showing various Remote Variant Scientist job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Full-time

Re-posted 28 days ago


Job description

What You'll Do
You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs. Working independently in a dynamic, data-driven environment, you will leverage methods from multiple disciplines, including statistical inference, machine learning, and simulation frameworks, to extract insights and translate them into actionable recommendations. You will also contribute to building and maintaining the computational tools and infrastructure that enable streamlined, reproducible analyses across the team.

Responsibilities
- Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts to support internal research programs and external opportunity evaluation (e.g., new program opportunities and partnership diligence)

- Perform integrative analyses of human genetics and EHR data to enable target identification, biomarker discovery, and clinical development decisions

- Collaborate closely with cross-functional stakeholders, including biology, clinical, and business development teams, to translate analytical findings into actionable insights

- Communicate results clearly and effectively through internal presentations, written reports, and contributions to external scientific publications and conferences

Where You'll Work
This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco office or conference locations. 

Who You Are

Required:
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 5+ years of industry experience. Experience with rare disease genetics and translational research is strongly preferred.

- Demonstrated hands-on experience working with UK Biobank and All of Us data, including a strong understanding of their data architecture and data types. Applicants must include brief descriptions of relevant projects in their resume

- Extensive experience with QC, analysis, and interpretation of human genetics data (single-variant and gene-based association analyses using WES/WGS/array genotyping data) 

- Proficiency in Python and hands-on experience integrating AI-powered tools (e.g., Claude, Codex) into analytical workflows to improve productivity, reproducibility, and code quality across code generation, data analysis, and documentation, with appropriate validation of outputs.

Preferred

- Experience inferring disease incidence and prevalence from genetics data

- Familiarity with large-scale human genomics databases (including but not limited to gnomAD, GTEx, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred

- Experience supporting target validation and/or biomarker discovery efforts in a pharmaceutical or biotechnology setting.

- Familiarity with multi-omics data types (e.g., transcriptomics, proteomics, epigenomics, chromatin accessibility); hands-on experience preferred.

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