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Remote Bioinformatics Jobs in Berkeley, CA (NOW HIRING)

Profluent

Lead Bioinformatics Scientist, NGS

Emeryville, CA · On-site +1

$160K - $230K/yr

In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Experience in NGS data analysis and bioinformatic pipelines. * Experience with containerized cloud ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Natera

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... or bioinformatics computing, LIMS or laboratory data systems, workflow orchestration engines ...

All JobsBioinformatics JobsRemote Bioinformatics JobsRemote Bioinformatics Jobs in Berkeley, CA

Remote Bioinformatics information

See Berkeley, CA salary details

$72.9K

$115.7K

$183.1K

How much do remote bioinformatics jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote bioinformatics in Berkeley, CA is $115,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $158,600.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a bioinformatics role?

Working remotely in bioinformatics often means managing large datasets and complex analyses without immediate in-person support, which requires strong troubleshooting abilities and self-sufficiency. Collaborating with cross-disciplinary teams—such as biologists, clinicians, and data scientists—demands proactive communication and regular virtual meetings to ensure project alignment. Time zone differences and asynchronous workflows can also present coordination challenges, but they offer flexibility in managing your workload. Keeping up with the latest bioinformatics tools and research is essential and often involves continuous self-directed learning. With these factors in mind, remote bioinformatics roles can be both rewarding and flexible for those skilled at independent work and digital collaboration.

What is a Remote Bioinformatics job?

A Remote Bioinformatics job involves analyzing biological data using computational tools and techniques while working from a location outside of a traditional office, such as from home. Professionals in this field work with large datasets, develop algorithms, and create software to interpret genetic, genomic, or proteomic information. These roles are commonly found in research institutions, biotech companies, and healthcare organizations. Strong programming, data analysis, and biological domain knowledge are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Remote Bioinformatics position, and why are they important?

To thrive as a Remote Bioinformatics professional, you should have a strong background in computational biology, statistics, and programming (often with languages such as Python or R), supported by an advanced degree in a relevant field. Familiarity with bioinformatics tools (e.g., BLAST, GATK, Bioconductor), version control systems like Git, and experience with cloud-based computing platforms is highly valued. Excellent problem-solving abilities, clear written communication, and independent time management skills help you excel in remote and collaborative environments. These competencies are crucial for delivering accurate and timely insights from complex biological datasets while effectively working with geographically dispersed teams.

What are the most commonly searched types of Bioinformatics jobs in Berkeley, CA? The most popular types of Bioinformatics jobs in Berkeley, CA are:
What are popular job titles related to Remote Bioinformatics jobs in Berkeley, CA? For Remote Bioinformatics jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics jobs in Berkeley, CA look for? The top searched job categories for Remote Bioinformatics jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Bioinformatics jobs? Cities near Berkeley, CA with the most Remote Bioinformatics job openings:
Remote Bioinformatics jobs near you
Infographic showing various Remote Bioinformatics job openings in Berkeley, CA as of July 2026, with employment types broken down into 64% Full Time, 25% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,678 per year, or $55.6 per hour.

Bioinformatics Engineer - Variant

LatchBio

San Francisco, CA • On-site, Remote

$120K - $180K/yr

Full-time

Re-posted 27 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 - Techcnial Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite (If applicable)
  5. Offer
LatchBio logo

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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