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Python Bioinformatics Jobs in California (NOW HIRING)

Illumina, Inc.

Staff Bioinformatics Scientist

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with Python and Python visualization libraries * Experience with multi-threaded software ... Master's degree or PhD in bioinformatics, biology, engineering, physical sciences, computer science ...

Profluent

Lead Bioinformatics Scientist, NGS

Emeryville, CA · On-site +1

$160K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you'll architect core bioinformatics infrastructure, define analytical strategy, and ... Strong programming skills in Python (pandas, numpy, biopython, etc.) * Expertise with workflow ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Computational skills using Python and/or R, including experience with data science and biological ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl ... Proficiency in Python or R for data processing, QC, and pipeline logic * Hands-on experience ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Computational skills using Python and/or R, including experience with data science and biological ...

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How much do python bioinformatics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python bioinformatics in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python bioinformatics?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

What does a Python bioinformatics do?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

What skills and qualifications are needed for a Python bioinformatics?

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

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

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

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

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

What cities in California are hiring for Python Bioinformatics jobs?

Cities in California with the most Python Bioinformatics job openings:

Python Bioinformatics jobs near you
Infographic showing various Python Bioinformatics job openings in California as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 5% Part Time, 2% Temporary, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Computational Clinical Scientist II, Clinical Bioinformatics

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Posted 6 days ago

Job description

The Opportunity:

In this role, you will work within our Translational Medicine group analyzing and interpreting molecular and clinical data. Analysis will focus on using genomic, protein and other targeted assays to identify and validate predictive biomarkers. The computational clinical scientist will work on various projects in different phases of drug development and contribute to the cross-functional team which includes other bioinformaticians, program leads, medical monitors, biostatisticians other pre-clinical scientists.

  • Integrate multiple data sources including circulating tumor DNA, patient enrollment data, molecular profiling (RNA/DNA sequencing outputs), multiplex immunohistochemistry to identify and validate new biomarkers for candidate drugs.

  • Work with internal groups, contract research organizations and collaborators to deliver validated biomarker data and analysis.

  • Support the development of biomarker related aspects of the trial design where bioinformatic analysis is required, including study protocols, lab manuals, clinical study reports, and other regulatory documents.

  • Work with biomarker scientists to support analysis of biomarker readouts (summary statistics, and visualization of efficacy in molecular subgroups).

  • Collaborate with preclinical bioinformaticians to design, analyze and interpret experiments to validate biomarkers, understand compound mechanism of action, and identify biomarkers for patient selection and target engagement.

Required Skills, Experience and Education:

  • M.S. or Ph.D. in bioinformatics, biology, data science or a related field with emphasis on biological data analysis.

  • 2+ years of pharmaceutical or biotech experience in bioinformatics focused on oncology, immunology, or related field.

  • Proficiency and experience programming using R and/or Python.

  • Proficiency in statistical models and analysis of clinical data. Some ML experience a strong plus.

  • Proficiency in visualizations and faceting of molecular data necessary (oncoplots, heatmaps, PCA, etc.).

  • Experience with efficacy, baseline demographic, and other outcome data generated in a clinical trial.

  • Experience with statistical methods i.e. survival analysis, and causal inference.

  • Expertise in bioinformatic analysis of cancer signaling pathways and driver mutations.

  • Experience in tools to analyze cancer genomics data types (RNA, WES, ctDNA, etc) and common tool outputs (GATK, Salmon, OncoKB, VEP, etc.) preferred.

Preferred Skills:

  • Development with professional software development systems and methods (e.g. IDE's, ticketing systems, version control systems).

  • Familiarity with large public/private genomic data sets (GDC, TCGA, etc.).

  • Familiarity with clusters, containers, and cloud computing infrastructure for data processing, analysis, and storage.

  • Experience in tools to analyze cancer genomics datasets (GATK, Salmon, OncoKB, VEP, etc.).

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