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Bioinformatics Research Jobs in California (NOW HIRING)

Bioinformatics Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities ...

Bioinformatics Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities ...

Bioinformatics Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities ...

... bioinformatics and research scientists and engineers for various projects as appropriate Preferred : • Machine learning experience and mathematical understanding of optimization algorithms ...

Bioinformatics Scientist

Scotts Valley, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with multi-disciplinary R&D teams on assay development & benchmarking ... PhD in bioinformatics, computational biology, or equivalent. Postdoctoral and/or industry ...

Contribute to strategic planning and research initiatives across the organization's portfolio ... Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical ...

Bioinformatics Scientist

Scotts Valley, CA · On-site

$80K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with multi-disciplinary R&D teams on assay development & benchmarking ... PhD in bioinformatics, computational biology, or equivalent. Postdoctoral and/or industry ...

As a core member of the Research and Development department, you will play a pivotal role in ... PhD in Bioinformatics, Computer Science, Engineering, Statistics, Cancer Biology or similar field ...

Senior Scientist, Bioinformatics

San Carlos, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work closely with research scientists and the global biomarker and translational research team ... D. in Bioinformatics, Computational Biology, or other related fields with at least 2 years of ...

... R&D teams to develop and implement new discovery and risk assessment product applications. • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to ...

Contribute to strategic planning and research initiatives across the organization's portfolio ... Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical ...

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Bioinformatics Research information

See California salary details

$58.7K

$93.2K

$147.5K

How much do bioinformatics research jobs pay per year?

As of Aug 13, 2026, the average yearly pay for bioinformatics research 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 are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

What are the key skills and qualifications needed to thrive as a bioinformatics researcher?

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What is bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.

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

The most popular types of Bioinformatics Research jobs in California are:

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

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

What cities in California are hiring for Bioinformatics Research jobs?

Cities in California with the most Bioinformatics Research job openings:

Infographic showing various Bioinformatics Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Bioinformatics Programmer

University of California San Francisco

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities


Job description


The University of California, San Francisco is seeking a Bioinformatics Programmer to join the bioinformatics team supporting the Clinical Cancer Genomics Laboratory (CCGL), the Genomic Medicine Laboratory (GML), and the Institute for Human Genetics Sequencing Core (IHG Core).
Responsibilities for CCGL:
In this role, this individual will be part of a bioinformatics team responsible for design, construction, and maintenance of a genomic analysis pipeline supporting the UCSF500 Cancer Gene Panel assay, a molecular test profiling DNA from tumor and normal tissue to identify mutations that may drive a patient's cancer and aid in diagnosis and treatment, and a related RNAseq pipeline to identify gene fusions. Our internally developed cloud-based genomic analysis pipelines detect single nucleotide variants, small and medium indels, structural rearrangements, copy number variants, and microsatellite instability, and communicate with sequencing core services, laboratory information management systems and clinical reporting software.
Under the general direction of the Associate Director of Bioinformatics for the Clinical Cancer Genomics Laboratory, the Bioinformatics Programmer will design and develop new components and pipelines to support new and enhanced clinical testing. New features slated for development include tumor methylation- and whole transcriptome-based classifiers and AI tools to assist in clinical signout. Other new software developed will provide support for automating aspects of sample analysis and error reporting and integration with other clinical systems. Additional responsibilities will include supporting the development of new target capture panels and test validation as well as quarterly data analysis to improve QC and support clinical annotation. In this role, the Bioinformatics Programmer will interface with molecular pathologists, laboratory and administrative staff, medical researchers, technical teams for related clinical systems and data repositories, and research consortia.
Responsibilities for GML:
The individual will be part of the bioinformatics team responsible for building and maintaining pipelines to support genomic analysis for the clinical tests performed by GML including: Rapid Whole Genome Sequencing, Exome Sequencing, Hereditary Cancer Panel, and exome subpanels. New features slated for development include long-read sequencing platforms to complement existing short-read whole genome sequencing. The individual will build infrastructure to route data to, from, and between numerous 3rd party platforms, kick off appropriate analyses, and manage data storage. New pipelines will also be built to support auto verification of negative cases, QC analyses, and retrospective studies. The individual will also perform ad hoc analyses and processing of clinical data to support lab initiatives and special cases that must be handled outside of the standard pipelines.
Responsibilities for IHG Core:
The individual will work as part of the bioinformatics team responsible for building and maintaining an end-to-end automated pipeline to transport raw sequencing data from sequencing machines to UCSF Amazon Web Services Secure Enterprise Cloud, convert raw sequencing data to sequencing reads, route clinical data to downstream systems, perform individual analyses for custom research projects, return data to customers, and manage data storage.
Other responsibilities:
The individual will be required to be on call nights and weekends for a minimum of 13 weeks of the year, to quickly react to any situations that may arise to ensure prompt data transfer and processing for CCGL, GML, and the IHG Core. Maintenance of pipelines, applications, and servers must often be performed outside of standard business hours to minimize disruptions to the labs.
Responsibilities
of time
Essential Function (Yes/No)
Key Responsibilities
25
Yes
Applies advanced bioinformatics concepts to design, develop, modify, debug, and evaluate highly complex software programs, systems, and web tools.
30
Yes
Conducts advanced bioinformatics programming and testing of new algorithms that will interact with other related databases.
10
Yes
Formulates logic for new systems, devises logic procedures, prepares flowcharting, performs coding and data analysis, and tests / debugs highly complex programs.
10
Yes
Recommends and implements changes in development, maintenance and system standards for analysis algorithms, tools, and infrastructure.
10
Yes
Performs highly complex data modeling, performance and integration testing and builds user interfaces for a variety of internal and external constituents.
5
Yes
Interacts with senior level internal personnel.
10
Yes
Liaises with clinical researchers and provides documentation of internal processes to support research and publication.
100%
Qualifications
Required Qualifications:
  • In-depth knowledge of bioinformatics methods and data structures
  • In-depth knowledge of bioinformatics programming design, modification and implementation
  • In-depth knowledge of genetics, genomics, and cancer biology
  • Advanced interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership
  • Ability to communicate technical information in a clear and concise manner
  • Minimum 5 years of experience with Illumina sequencing data, genetic variant calling, variant analysis, annotation and filtering
  • Proficiency with Python, R, Unix/Linux OS and shell scripting, and associated libraries
  • Strong knowledge of statistics and experience working with large genomics datasets
  • Minimum 3 years of experience with clinical pipelines, procedures, implementation, and documentation
  • Strong experience with APIs
  • Advanced skills in data migration and data conversion

Preferred Qualifications:
  • Advanced understanding of relational databases, web interfaces and operating systems.
  • Advanced project management skills
  • Advanced ability to interface with management on a regular basis
  • Ability to lead a team, meet deadlines and demonstrate advanced problem solving skills
  • In-depth knowledge of web, application and data security concepts and methods
  • In-depth knowledge of web, application and data security concepts and methods
  • Working knowledge of Amazon Web Services, including AWS Batch
  • Experience developing, evaluating, or deploying machine learning models for genomics, biomedical, or healthcare applications
  • Ability to critically evaluate emerging AI technologies and identify opportunities for implementation in clinical genomics workflows
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and generative AI applications in healthcare or life sciences

Education, Licenses/Certifications:
  • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience/training - Required
  • Master's Degree and 4 yrs relevant experience in bioinformatics - Required
  • PhD in Bioinformatics or related field - Preferred

About Us
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

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