ZipRecruiter

Log In

1

Bioinformatic Jobs in Santa Rosa, CA (NOW HIRING)

LGC Group

Technician, Manufacturing

Petaluma, CA · On-site

$42.31/hr

Centred out of LGC's site in Kulmbach, Germany, Axolabs works closely with its customers to assist the identification and development of lead candidates with a broad suite of bioinformatics, biology ...

LGC Group

Technician, Manufacturing

Petaluma, CA

$42.31/hr

Centred out of LGC's site in Kulmbach, Germany, Axolabs works closely with its customers to assist the identification and development of lead candidates with a broad suite of bioinformatics, biology ...

LGC Group

Technician, Manufacturing

Petaluma, CA

Centred out of LGC's site in Kulmbach, Germany, Axolabs works closely with its customers to assist the identification and development of lead candidates with a broad suite of bioinformatics, biology ...

All JobsBioinformatic JobsBioinformatic Jobs in Santa Rosa, CA

Bioinformatic information

See Santa Rosa, CA salary details

$59.6K

$105.1K

$152K

How much do bioinformatic jobs pay per year?

As of Jul 26, 2026, the average yearly pay for bioinformatic in Santa Rosa, CA is $105,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $119,700.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

Bioinformaticians use AI and machine learning tools to analyze biological data, but AI is a complement rather than a replacement for their expertise. Human oversight, domain knowledge, and interpretation remain essential in developing and applying bioinformatics solutions.

What do people with bioinformatics jobs do?

Bioinformaticians analyze biological data, such as genetic sequences and molecular structures, using computational tools and programming languages like Python or R. They develop algorithms, manage large datasets, and collaborate with biologists and healthcare professionals to interpret data and support research or clinical decisions.

What are the key skills and qualifications needed to thrive in the Bioinformatic position, and why are they important?

To thrive as a Bioinformatician, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python, R, or Perl, experience using bioinformatics tools and databases, and knowledge of data visualization platforms are typically expected. Problem-solving, strong communication, and the ability to work collaboratively are valued soft skills in this position. These competencies are essential for efficiently analyzing complex biological datasets, deriving actionable insights, and contributing to multidisciplinary research teams.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, researcher, software developer, and data scientist. These positions involve analyzing biological data, developing algorithms, and using tools like R, Python, and specialized databases to support research and healthcare applications.

What is a Bioinformatic job?

A bioinformatics job involves using computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and gene expression patterns. Professionals in this field develop algorithms, manage large datasets, and apply statistical methods to extract meaningful insights from complex biological information. Bioinformaticians work in areas like genomics, drug discovery, personalized medicine, and agricultural research, often collaborating with biologists and data scientists.

What biology jobs pay over $100k?

Bioinformatics roles such as senior bioinformaticians, computational biologists, and data scientists often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience in genomics or drug development. These positions are common in biotech, pharmaceutical, and research institutions and may require a master's or Ph.D. degree.

What are typical daily tasks and collaborative responsibilities for a Bioinformatician?

Bioinformaticians typically spend their days analyzing biological data, developing and optimizing algorithms, and interpreting results in collaboration with laboratory scientists and researchers. You may work on tasks such as processing large-scale sequencing data, maintaining databases, and creating custom scripts to support specific research projects. Regular meetings with biologists, data analysts, and software engineers are common to ensure seamless integration of experimental and computational tasks. The collaborative nature of the role means Bioinformaticians often contribute to publications, share findings with team members, and help troubleshoot complex data challenges.

What are popular job titles related to Bioinformatic jobs in Santa Rosa, CA? For Bioinformatic jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Bioinformatic jobs in Santa Rosa, CA look for? The top searched job categories for Bioinformatic jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Bioinformatic jobs? Cities near Santa Rosa, CA with the most Bioinformatic job openings:
Bioinformatic jobs near you
Infographic showing various Bioinformatic job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $105,145 per year, or $50.6 per hour.
Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Buck Institute

Novato, CA • On-site

$80K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science.
This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed.
The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research.
Key Responsibilities
1. Perform bioinformatics and data science analyses.
The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:
  • Proteomics
  • Metabolomics
  • Methylomics
  • Survey data
  • Integrative multi-omics datasets
  • Human biological aging and omics-clock data
  • Drug repurposing analyses
  • Enrichment and pathway analyses
  • Dimensionality reduction and clustering
  • Classification methods, including random forests and support vector machines
  • Neural network-based approaches
  • Simple and multiple linear regression
  • Parametric and non-parametric statistical analyses
2. Analyze, curate, and manage research data
Responsibilities will include:
  • Curating, organizing, and preparing data for analysis and upload to central repositories
  • Supporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreements
  • Reviewing and improving standard operating procedures for data transfer, quality control, and management
  • Coordinating with internal and external teams to ensure timely collection, transfer, and analysis of data
  • Attending project meetings and contributing to improvements in data workflows, systems, and documentation
  • Ensuring data quality, reproducibility, and compliance with project requirements
3. Collaborate with scientific and administrative teams
The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include:
  • Contributing to grant applications, progress reports, and scientific proposals
  • Supporting manuscript preparation and journal article writing
  • Creating publication-quality figures, tables, and data visualizations
  • Presenting analyses and findings to interdisciplinary research teams
  • Helping translate complex computational results into clear biological and scientific interpretations
Qualifications
Required Education and Experience
  • Strong background in both human biology and bioinformatics
  • PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related field
  • Minimum of 2 years of professional experience in a biological, biomedical, or computational research environment
  • Strong proficiency in R, Python, and Bash scripting
  • Demonstrated experience analyzing biological or biomedical datasets
  • Experience developing, implementing, and running bioinformatics workflows
Required Skills
  • Strong analytical, mathematical, and creative problem-solving skills
  • Excellent written and oral communication skills
  • Ability to work both independently and collaboratively in a team-based research environment
  • Strong organizational skills and attention to detail
  • Ability to prioritize and execute multiple tasks across concurrent projects
  • Experience with reproducible data analysis practices and documentation
  • Ability to communicate technical results to both computational and non-computational audiences
  • Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows
Preferred Qualifications
  • Experience with FDA approval process
  • Experience with building apps
Compensation and Benefits
  • Salary range: $80,000–$85,000, commensurate with experience
  • Full-time, onsite position
  • Exciting, collaborative work environment at the forefront of aging research
  • Opportunity to work with state-of-the-art technologies and interdisciplinary scientific teams
  • Generous benefits package, including:
    • Health insurance
    • Paid parental leave
    • Generous paid time off
    • 401(k) with 5% employer match
  • Work visa sponsorship available for qualified candidates
About the Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application.
Please upload both:
  1. Your CV
  2. A brief statement of research interests, including the names and contact information for three references.

 

Powered by JazzHR

D9X4PKVg2Z