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Statistical Geneticist Remote Jobs (NOW HIRING)

BridgeBio Pharma

Senior Statistical Geneticist

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 ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

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 ...

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be ... genetic information, sexual orientation, marital status, or any characteristic protected under ...

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Able to work independently in a remote environment and manage timelines effectively. Preferred ... origin, genetic information, pregnancy, or any other protected characteristic as outlined by ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Able to work independently in a remote environment and manage timelines effectively. Preferred ... origin, genetic information, pregnancy, or any other protected characteristic as outlined by ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience in genomic data analysis, computational biology, statistical genetics, or functional ...

Miamioh

Keeping up to date on changes in statistical scoring rules * Being involved in resolution of ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

Master's or PhD in bioinformatics, genetics, biology, statistics, or related field * 3-5 years of ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Baylor Genetics

AD Scientific Innovation

THIS Can be REMOTE or Hybrid The successful candidate will lead innovation initiatives across ... statistical genetics, and computational biology. • Experience developing production-grade ...

Massgeneralbrigham

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

... statistics, genetics/genomics, or a related quantitative field required. Can this role accept ... Additional Job Details (if applicable) Remote Type Hybrid Work Location 115 Mill Street Scheduled ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

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Statistical Geneticist Remote information

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$68K

$90.1K

$107.5K

How much do statistical geneticist remote jobs pay per year?

As of Sep 8, 2026, the average yearly pay for statistical geneticist remote in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What does a statistical geneticist do when working remotely?

A Statistical Geneticist working remotely analyzes genetic data using statistical and computational methods to identify genetic factors associated with diseases or traits. They often collaborate with researchers, design experiments, and interpret large datasets using specialized software, all from a remote location. This role typically involves tasks such as genome-wide association studies (GWAS), bioinformatics analyses, and the development of predictive models. Remote Statistical Geneticists must be proficient in programming languages like R or Python and stay up-to-date with the latest research in genetics and statistics.

How does a statistical geneticist working remotely typically collaborate with interdisciplinary teams?

Remote Statistical Geneticists frequently work with biologists, clinicians, and data scientists to analyze genetic data and interpret complex results. Collaboration is often facilitated through virtual meetings, shared data platforms, and cloud-based analysis tools. Clear communication and regular updates are essential to ensure alignment on research objectives and methodologies. While remote work offers flexibility, it also requires proactive engagement to remain integrated with the broader research team.

What are the key skills and qualifications needed to thrive as a statistical geneticist working remotely, and why are they important?

To thrive as a Statistical Geneticist in a remote setting, you need a strong background in genetics, statistics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in genetics, statistics, or a related field. Proficiency with statistical software (such as R, Python, or SAS), genetic analysis tools (like PLINK or GATK), and experience with high-throughput genomic data is crucial. Strong problem-solving skills, attention to detail, and effective remote communication and collaboration abilities make someone stand out in this role. These skills and qualities are essential for accurately interpreting complex genetic data, contributing to research projects, and working efficiently within distributed scientific teams.

What is the difference between Statistical Geneticist Remote vs Bioinformatics Analyst?

AspectStatistical Geneticist RemoteBioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Biostatistics, or related fieldBachelor's or Master's in Bioinformatics, Computer Science, or related field
Work EnvironmentRemote, collaborative research teams, academic or biotech settingsRemote or on-site, data analysis in labs or healthcare organizations
Industry UsageGenetics research, personalized medicine, biotech companiesGenomics, healthcare, pharmaceutical industries
Common Search/ComparisonYesNo

While both roles involve data analysis and genetics, Statistical Geneticists Remote focus on genetic data modeling and research, often requiring advanced degrees. Bioinformatics Analysts typically handle data processing and analysis using computational tools, with a broader scope in genomics. Both roles are essential in genetics and biotech industries, but they differ in specific skill sets and daily tasks.

More about Statistical Geneticist Remote jobs

What cities are hiring for Statistical Geneticist Remote jobs?

Cities with the most Statistical Geneticist Remote job openings:

What are the most commonly searched types of Statistical Geneticist jobs?

The most popular types of Statistical Geneticist jobs are:

What states have the most Statistical Geneticist Remote jobs?

States with the most job openings for Statistical Geneticist Remote jobs include:

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For Statistical Geneticist Remote jobs, the most frequently searched job titles are:

Statistical Geneticist Remote jobs near you
Infographic showing various Statistical Geneticist Remote job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 78% Full Time, 10% Part Time, 2% Temporary, and 6% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Senior Statistical Geneticist

BridgeBio Pharma

Remote

Full-time

Re-posted 2 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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