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Bioinformatics Jobs in California (NOW HIRING)

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines ...

Arc Bio

Bioinformatics Scientist

Scotts Valley, CA · On-site

$120 - $180/hr

Contribute and author bioinformatics-focused white papers, posters, and publications. SkillsAndBackground * PhD inbioinformatics, computational biology, or equivalent. Postdoctoral and/or industry ...

AA2IT

Senior Bioinformatics Scientist

San Diego, CA · On-site

$75 - $85/hr

Bioinformatics Scientist - III Location: 3050 Science Park Road, San Diego, CA Rate: $75-85/HR Education: * Minimum qualification: Master's degree with 4+ years of experience in computational biology ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$140 - $190/hr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the discovery, development, and validation of novel biomarkers for prognostic and precision medicine ...

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Bioinformatics information

See California salary details

$58.7K

$93.2K

$147.5K

How much do bioinformatics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for bioinformatics 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?

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 typical day-to-day responsibilities of a bioinformatics professional?

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 are the key skills and qualifications needed to thrive in bioinformatics?

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.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

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

The most popular types of Bioinformatics jobs in California are:

What are popular job titles related to Bioinformatics jobs in California?

For Bioinformatics jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Bioinformatics jobs?

Cities in California with the most Bioinformatics job openings:

Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Principal Scientist, Bioinformatics

Nkarta, Inc.

South San Francisco, CA • Hybrid

Full-time

Re-posted 22 days ago

Job description

Overview

Nkarta is seeking a highly motivated, collaborative, detail-oriented Principal Scientist to join our Translational Medicine team. This is a high-impact, hands-on leadership role for a senior bioinformatics scientist. The successful candidate will have deep expertise in single-cell and spatial omics technologies, along with experience in functional genomics and leading computational biology and/or bioinformatics programs in a biotech or pharmaceutical setting.

This individual will work collaboratively within Translational Medicine and cross-functionally to advance, support, and execute biomarker discovery, mechanism-of-action (MOA) investigations, and translational data analysis from clinical samples. A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive translational insights, biomarker development, and clinical decision-making in early development.

Responsibilities

  • Lead and actively participate in the design and execution of computational strategies and hands-on analysis of clinical and biological datasets to support go/no-go decisions
  • Hands-on development and application of computational methods for single-cell and spatial transcriptomics to generate actionable translational insights from clinical samples
  • Establish scalable pipelines for multi-modal data integration across programs
  • Integrate and analyze functional genomics datasets (e.g., bulk RNA-seq) to generate mechanistic insights that inform translational and clinical strategies
  • Provide high-impact analyses with direct influence on clinical decision-making and visibility to senior leadership
  • Collaborate with senior leadership to define priorities, allocate resouces, and establish timelines aligned with company objectives
  • Partner with experimental scientists to design studies leveraging advanced omics approaches and interpret results
  • Ensure reproducibility, scalability, and data quality across bioinformatics pipelines
  • Communicate complex findings effectively to scientific and non-scientific stakeholders, including senior leadership

Qualifications

  • Deep expertise in single-cell and spatial transcriptomics analysis, including scRNA-seq and related high-dimensional omics datasets
  • Strong experience analyzing functional genomics and transcriptomic data (e.g., bulk RNA-seq, WES) to derive biological and translational insights
  • Strong foundation in biological sciences, with experience or interest in immunology and disease biology
  • Deep understanding of modern statistical and computational methods for high-dimensional data analysis
  • Proficiency in Python and/or R, with experience using relevant bioinformatics frameworks
  • Experience developing and maintaining scalable data analysis pipelines and working with cloud-based infrastructure (e.g., AWS)
  • Excellent communication and presentation skills, with the ability to influence cross-functional stakeholders and translate complex data into clear, actionable insights
  • Demonstrated experience managing external CROs and bioinformatics vendors
  • Proven leadership experience, including mentoring and developing scientific teams
  • Strong cross-functional collaboration skills and ability to translate computational insights into biological and clinical impact
  • Ability to work both independently and collaboratively in a fast-paced environment, with strong organizational skills and attention to detail

Education/Background

  • PhD in Biological Sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5+ years of industry experience.

The common requirements of an office environment (computers, computer screens, workstations, etc.) apply. This role is based in the South San Francisco office, with hybrid work arrangements possible.

Apply