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Bioinformatics Jobs in Santa Rosa, CA (NOW HIRING)

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Bioinformatics information

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$65.1K

$103.3K

$163.5K

How much do bioinformatics jobs pay per year?

As of Jun 14, 2026, the average yearly pay for bioinformatics in Santa Rosa, CA is $103,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $141,600.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

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

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are popular job titles related to Bioinformatics jobs in Santa Rosa, CA? For Bioinformatics jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics jobs in Santa Rosa, CA look for? The top searched job categories for Bioinformatics jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Bioinformatics jobs? Cities near Santa Rosa, CA with the most Bioinformatics job openings:
Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $103,292 per year, or $49.7 per hour.

Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Buck Institute for Research on Aging

Novato, CA • On-site

$80K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted 4 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.

Apply