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Remote Epigenetic Jobs (NOW HIRING)

BridgeBio Pharma

Senior Statistical Geneticist

S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco ... epigenomics, chromatin accessibility); hands-on experience preferred. has context menu

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

... including epigenetics, DNA, RNA). * Computational skills using Python and/or R, including ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

... including epigenetics, DNA, RNA). * Computational skills using Python and/or R, including ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

The Pennsylvania State University

$40K - $58K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... epigenetic modifications, chromatin structure, gene expression, and somatic mutations across ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco ... epigenomics, chromatin accessibility); hands-on experience preferred. has context menu At BridgeBio ...

Insmed Incorporated

... and epigenomics * Analyze data and develop interpretation reports for all facets of our drug ... remote role. It can be performed effectively from anywhere while staying connected to your Insmed ...

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$83.5K

$127K

$171K

How much do remote epigenetic jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote epigenetic 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.

How much does a remote epigeneticist make?

A remote epigeneticist typically earns between $70,000 and $120,000 annually, depending on experience, education, and the employer. Salaries may vary based on the complexity of research, required skills in molecular biology and bioinformatics, and the level of specialization.

How to become a remote epigenetic researcher?

To become a remote epigenetic researcher, typically a candidate needs a relevant degree such as a master's or Ph.D. in genetics, molecular biology, or a related field. Gaining experience with laboratory techniques, bioinformatics tools, and data analysis software is essential, along with strong research skills and the ability to work independently in a remote environment.

Is there a degree in epigenetics?

While there is no specific degree titled 'epigenetics,' many professionals in the field hold degrees in related areas such as molecular biology, genetics, or biochemistry. Specialized training or coursework in epigenetics is often gained through graduate programs, certificates, or research experience in genetics or epigenomics. Having a strong foundation in biology and laboratory skills is essential for a career as a remote epigenetic researcher or specialist.

What careers involve epigenetics?

Careers involving epigenetics include research scientist, molecular biologist, and bioinformatician, often in academic, government, or biotech settings. These roles typically require knowledge of genetics, laboratory skills, and tools like DNA sequencing and data analysis software. Professionals in this field study gene regulation, development, and disease mechanisms at the epigenetic level.
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Remote Epigenetic jobs near you
Infographic showing various Remote Epigenetic job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Senior Statistical Geneticist

BridgeBio Pharma

Remote

Full-time

Re-posted 17 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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