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Bioinformatics Scientist Jobs in California (NOW HIRING)

Bioinformatics Scientist

Hayward, CA ยท On-site

$134.10 - $163.90/hr

Bioinformatics Scientist Full Time Hayward, CA, US 3 days ago Requisition ID: 1096 Position: Bioinformatics Scientist (Full-time) Location: Hayward, CA $149,000/year Predicine, Inc. in Hayward, CA ...

Bioinformatics Scientist

Scotts Valley, CA ยท On-site

$80K - $130K/yr

We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical applications of the proximity ligation technology created by Dovetail Genomics. The ideal candidate ...

Bioinformatics Scientist

Scotts Valley, CA ยท On-site

$130 - $210/hr

We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical applications of the proximity ligation technology created by Dovetail Genomics. The ideal candidate ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and ...

Bioinformatics Scientist

Redwood City, CA ยท On-site

$100 - $175/hr

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and ...

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Showing results 1-20

Bioinformatics Scientist information

See California salary details

$37

$54

$73

How much do bioinformatics scientist jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for bioinformatics scientist in California is $54.07, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $61.68 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What are the key skills and qualifications needed to thrive as a bioinformatics scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is bioinformatics well paying?

Bioinformatics scientists typically earn competitive salaries due to their specialized skills in computational biology, data analysis, and programming. Salaries vary by experience, location, and industry, but the field generally offers above-average compensation compared to many other scientific roles.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

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

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

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

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

What cities in California are hiring for Bioinformatics Scientist jobs?

Cities in California with the most Bioinformatics Scientist job openings:

Infographic showing various Bioinformatics Scientist job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, and 5% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $112,473 per year, or $54.1 per hour.

Bioinformatics Scientist

Predicine, Inc.

Hayward, CA โ€ข On-site

$134.10 - $163.90/hr

Other

This job post hasย expired 5 days ago.ย Applications are no longer accepted.


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 Masterโ€™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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