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Remote Bioinformatics Jobs in California (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

LatchBio

AI Biologist - Metagenomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field * 3+ ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

We're seeking a Bioinformatics Engineerto join our Function team working at the frontier of what ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Karius

Biostatistician II

Redwood City, CA · On-site +1

Remote Primary Responsibilities * Independently perform statistical analyses for clinical studies ... Collaborate with Data Science, Bioinformatics, Clinical Development, Medical Affairs, and Research ...

Karius

Biostatistician II

Redwood City, CA · On-site +1

Remote Primary Responsibilities * Independently perform statistical analyses for clinical studies ... Collaborate with Data Science, Bioinformatics, Clinical Development, Medical Affairs, and Research ...

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 ...

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Showing results 21-40

All JobsBioinformatics JobsRemote Bioinformatics JobsRemote Bioinformatics Jobs in California

Remote Bioinformatics information

See California salary details

$58.7K

$93.2K

$147.5K

How much do remote bioinformatics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote bioinformatics in California is $93,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,800.00 per year, depending on experience, location, and employer.

What is remote bioinformatics?

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 remote bioinformatics?

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 some typical challenges faced when working remotely in bioinformatics?

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 are the most commonly searched types of Bioinformatics jobs in California?

The most popular types of Bioinformatics jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Bioinformatics jobs?

Cities in California with the most Remote Bioinformatics job openings:

Remote Bioinformatics jobs near you
Infographic showing various Remote Bioinformatics job openings in California as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 15 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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