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Bioinformatics Research Jobs in California (NOW HIRING)

Bioinformatics Scientist

Hayward, CA · On-site

$134.10 - $163.90/hr

Bioinformatics Scientist Full Time Hayward, CA, US 3 days ago Requisition ID: 1096 Position ... Perform research and development of novel DNA methylation normalization algorithms, optimize DMFR ...

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

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

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 ...

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

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

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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 20, 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 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 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 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.

How to become a bioinformatics researcher?

To become a bioinformatics researcher, typically a candidate needs a bachelor's degree in bioinformatics, biology, computer science, or a related field, followed by a master's or Ph.D. for advanced roles. Developing skills in programming languages like Python or R, understanding biological data, and gaining experience with tools such as genomic databases are essential. Relevant internships, research projects, and knowledge of statistical analysis can also enhance prospects in this field.

What does a bioinformatics researcher do?

A bioinformatics researcher analyzes biological data using computational tools and algorithms to understand genetic, genomic, and molecular information. They often work with large datasets, develop software or pipelines, and collaborate with biologists to interpret results, typically requiring skills in programming, statistics, and biology. Their work supports advancements in personalized medicine, genomics, and disease research.

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, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Bioinformatics Scientist

Predicine, Inc.

Hayward, CA • On-site

$134.10 - $163.90/hr

Other

Posted 28 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Bioinformatics Scientist

Full Time Hayward, CA, US

3 days ago Requisition ID: 1096

Position:

Bioinformatics Scientist (Full-time)

Location:

Hayward, CA

$149,000/year

Job Description:

Predicine, Inc. in Hayward, CA seeks Bioinformatics Scientist. Perform research and development of novel DNA methylation normalization algorithms, optimize DMFR pipelines, and analyze next-generation sequencing data.

Job Responsibilities:

  • Develop, test, and optimize vertical and horizontal DNA methylation normalization algorithms, evaluating different mathematical formulas and parameters to improve accuracy and robustness;
  • Validate methylation algorithms and updated DMFR (Differentially Methylated Fragment Regions) pipelines using reference samples and diverse client datasets.
  • Debug, update, and maintain bioinformatics pipelines to ensure reproducible and scalable post-analysis workflows across multiple projects;
  • Design and implement post-pipeline analyses, including generating results, figures, and statistical summaries for client-specific and research-driven projects;
  • Collaborate with wet lab teams to support assay development, validation, troubleshooting, and concordance studies between different sequencing platforms and experimental conditions; and
  • Conduct quality control and statistical analysis for sequencing data, including sensitivity, conversion rates, and comparative assessments to guide experimental and pipeline improvements.

Requirements:

This position requires Master’s degree or foreign equivalent in Biology, Biomedical Engineering, Bioinformatics, or a related field plus 3 years of experience in the job offered or an R&D related occupation. Alternatively, the employer will accept a Doctorate degree or foreign equivalent in Biology, Biomedical Engineering, Bioinformatics, or a related field. Must have strong research ability and solid knowledge in developing and validating analytical approaches, interpreting complex biological data, and applying research insights to projects. Any suitable combination of experience of education, training, or experience is acceptable .

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