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Remote Genomics Jobs in California (NOW HIRING)

Singular Genomics

Software Engineer

San Diego, CA · On-site +1

ABOUT SINGULAR GENOMICS Singular Genomics is inventing at the forefront of genomics, one of the ... If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.

Singular Genomics

Software Engineer

San Diego, CA · On-site +1

ABOUT SINGULAR GENOMICS Singular Genomics is inventing at the forefront of genomics, one of the ... If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

About the Role You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

... genomic and imaging data-are seamlessly accessible to autonomous AI agents. Our goal is to move ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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All JobsGenomics JobsRemote Genomics JobsRemote Genomics Jobs in California

Remote Genomics information

See California salary details

$25.9K

$104K

$187.5K

How much do remote genomics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote genomics in California is $104,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,284.00 and $141,009.00 per year, depending on experience, location, and employer.

What is a remote genomics?

A Remote Genomics job involves analyzing genetic data, conducting bioinformatics research, and interpreting genomic insights while working from a remote location. Professionals in this field use computational tools to study DNA, identify genetic variations, and apply findings to healthcare, agriculture, or biotechnology. Roles may include bioinformaticians, geneticists, or data scientists collaborating with research institutions, healthcare organizations, or biotech companies. Strong skills in programming, data analysis, and genetics are essential. Remote work allows flexibility but requires self-discipline and effective communication with teams.

What skills and qualifications are needed for remote genomics?

Succeeding in Remote Genomics requires a solid background in genetics, molecular biology, bioinformatics, or a related field, often supported by a relevant degree or research experience. Familiarity with industry-standard tools like Python/R for data analysis, genome sequencing platforms (e.g., Illumina), and experience with cloud-based collaboration systems is typical. Strong organizational skills, attention to detail, and clear remote communication are crucial soft skills for managing complex data and working across distributed teams. These qualifications ensure accuracy in genomic research, effective collaboration, and successful project delivery in a remote work environment.

What are common challenges in remote genomics?

Professionals in Remote Genomics roles often encounter challenges related to managing large datasets securely, ensuring seamless communication across dispersed teams, and keeping up with rapidly evolving analytical tools. Working remotely requires strong self-discipline and proactive collaboration through digital platforms to ensure project milestones are met. Additionally, handling sensitive genomic data means adhering to strict data privacy and compliance standards. However, many organizations offer robust onboarding, regular virtual meetings, and access to technical support to help overcome these challenges.

Is remote genomics a good career?

Remote genomics is a growing field that involves analyzing genetic data outside of traditional laboratory settings, often requiring skills in bioinformatics, programming, and understanding of genomics tools. It offers flexibility and opportunities in research, healthcare, and biotech industries, with demand increasing as personalized medicine advances. Success in this career typically requires relevant education, certifications, and proficiency with genomic analysis software.

What jobs can you get with a remote genomics degree?

A remote genomics degree can qualify you for roles such as genomic data analyst, bioinformatics specialist, research scientist, or laboratory technician. These positions often require skills in data analysis, programming, and familiarity with genomic tools and databases, and may involve working independently or collaborating with research teams remotely.

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

The most popular types of Genomics jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Genomics jobs?

Cities in California with the most Remote Genomics job openings:

Remote Genomics jobs near you
Infographic showing various Remote Genomics job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $104,024 per year, or $50 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 27 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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