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Remote Bioinformatics Python Jobs in California (NOW HIRING)

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 ... Python, R, Java, C, C++, etc. * Proficiency in one or more ML frameworks such as; Pytorch ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Strong Python programming skills; ability to demonstrate mastery through work experience or ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

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 ... Strong proficiency in at least one general-purpose language (Python, Go, Java, or similar)

Veracyte

Data Scientist II

San Diego, CA · On-site +1

$101K - $140K/yr

This is a remote friendly position. On-site cube available in South San Francisco or San Diego ... Work with bioinformatician, statistician, and medical experts to document projects, including ...

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Remote Bioinformatics Python information

What is the difference between Remote Bioinformatics Python vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics PythonRemote Genomic Data Analyst
Required SkillsPython, bioinformatics tools, data analysisGenomic data interpretation, statistical analysis, Python (optional)
Work EnvironmentResearch labs, biotech companies, academiaHealthcare institutions, research organizations, biotech firms
Common CertificationsBioinformatics certifications, Python programmingBioinformatics or genomics certifications, data analysis skills

Remote Bioinformatics Python roles focus on developing and applying Python-based tools for biological data analysis, often requiring programming expertise. Remote Genomic Data Analysts interpret genomic datasets, utilizing statistical and bioinformatics skills. Both roles are prevalent in biotech and research industries, but Bioinformatics Python positions emphasize coding, while Genomic Data Analysts focus more on data interpretation and reporting.

What is a Remote Bioinformatics Python job?

A Remote Bioinformatics Python job involves using the Python programming language to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. Professionals in this role develop algorithms, scripts, and tools to process and interpret complex datasets, often supporting research in genomics, drug discovery, and healthcare. Working remotely allows bioinformaticians to collaborate with global teams and contribute to scientific projects without needing to relocate. These roles typically require strong programming skills, knowledge of bioinformatics concepts, and experience with biological databases.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Python professional, and why are they important?

To thrive as a Remote Bioinformatics Python professional, you need a strong background in biology, statistics, and computational analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in Python programming, familiarity with bioinformatics tools (such as Biopython, pandas, and NumPy), and experience using platforms like Git and Linux are essential. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills ensure that you can analyze complex biological data accurately, share insights with interdisciplinary teams, and contribute effectively to research or clinical projects from a remote setting.

How do remote Bioinformatics Python professionals typically collaborate with research teams and handle data security?

Remote Bioinformatics Python professionals often work closely with interdisciplinary research teams, including biologists, statisticians, and software engineers. Collaboration is facilitated through regular video meetings, shared code repositories (like GitHub), and project management tools such as Jira or Trello. Data security is paramount in this field, so professionals must follow strict protocols for accessing and transferring sensitive biological data, often using encrypted channels and adhering to institutional or governmental compliance standards.
What are popular job titles related to Remote Bioinformatics Python jobs in California? For Remote Bioinformatics Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Python jobs in California look for? The top searched job categories for Remote Bioinformatics Python jobs in California are:
What cities in California are hiring for Remote Bioinformatics Python jobs? Cities in California with the most Remote Bioinformatics Python job openings:
Remote Bioinformatics Python jobs near you
Infographic showing various Remote Bioinformatics Python job openings in California as of July 2026, with employment types broken down into 8% Locum Tenens, 74% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Bioinformatics Engineer, Therapeutics

Bioinformatics Engineer, Therapeutics

LatchBio

San Francisco, CA • On-site, Remote

Full-time

Posted 23 days ago

Job description

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 Engineer for Therapeutics to join our therapeutics bench, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets. Working with software engineers and biologists, you'll build ground-truth benchmark datasets-drawn from real antibody and protein discovery programs-that rigorously test whether agents can perform the critical decision-making steps that human scientists execute.
Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how we measure agent capability in therapeutic discovery.
Requirements
  • 2+ years hands-on experience with biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation)
  • Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays
  • Proficiency in Python and/or R for data analysis & visualization
  • Familiarity with at least one of:
    • Antibody optimization (CDR engineering, VH/VL pairing, variant screening)
    • Protein structure (AlphaFold, cryo-EM, docking)
    • High-throughput antibody/binding screens
    • PK/PD modeling for biologics (target occupancy, half-life, clearance) -
    • Bioprocess/manufacturability constraints

Nice-to-Have
  • Experience with immunogenicity risk assessment
  • Hands-on work with potency assay design (ELISA, cell-based, biochemical)
  • CMC/GMP-adjacent knowledge

Compensation & Logistics
  • OTE 120k - 180k - Performance based pay
  • Free meals onsite (lunch and dinner)
  • Waterfront office in China Basin, San Francisco
  • Full-time, in-person (can be remote)
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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