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Statistical Geneticist Remote Jobs in California

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 ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... genetic, military, veteran status, marital status, or any other characteristic protected by law.

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... genetic, military, veteran status, marital status, or any other characteristic protected by law.

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Ideate, develop, and improve machine learning and statistical models that drive Swish's core ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... genetic, military, veteran status, marital status, or any other characteristic protected by law.

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Statistical Geneticist Remote information

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.

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

The most popular types of Statistical Geneticist jobs in California are:

What are popular job titles related to Statistical Geneticist Remote jobs in California?

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

What job categories do people searching Statistical Geneticist Remote jobs in California look for?

The top searched job categories for Statistical Geneticist Remote jobs in California are:

What cities in California are hiring for Statistical Geneticist Remote jobs?

Cities in California with the most Statistical Geneticist Remote job openings:

Statistical Geneticist Remote jobs near you
Infographic showing various Statistical Geneticist Remote job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Biologist - Variant

LatchBio

San Francisco, CA • On-site, Remote

$120K - $180K/yr

Full-time

Re-posted 17 days ago

Job description

Bioinformatics Engineer - Variant
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineerto join our Variant team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration. Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
You'll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability. Your work directly impacts how LLMs reason through genomic problems.
Requirements
  • Master's or PhD in bioinformatics, genetics, biology, statistics, or related field
  • 3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work
  • Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics
  • Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization

Nice-to-Have
  • Experience building open-source bioinformatics software
  • Familiarity with LLM-powered tools, prompting, or evaluation frameworks
  • Background in cross-trait analysis or multiomics integration

Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay: $120K-$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp - full OTE from day one
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process
Timeline: We move fast: 8-12 days from submission to offer.
  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite (If applicable)
  5. Offer
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About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

Social media

Twitter

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