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Bioinformatics Genomics Jobs in California (NOW HIRING)

EdenRoc Sciences

Bioinformatics Scientist

Scotts Valley, CA · On-site

$80K - $130K/yr

Dovetail Genomics is an EdenRoc Sciences startup company based in Santa Cruz, CA developing cutting ... We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical ...

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

ROSALIND empowers Scientists globally to discover life's unknowns through genomic data interpretation. As a Bioinformatics Engineer, you will develop software for analyzing and visualizing complex ...

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Bioinformatics Genomics information

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How much do bioinformatics genomics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bioinformatics genomics in California is $155,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,600.00 and $168,600.00 per year, depending on experience, location, and employer.
What cities in California are hiring for Bioinformatics Genomics jobs? Cities in California with the most Bioinformatics Genomics job openings:
Bioinformatics Genomics jobs near you
Infographic showing various Bioinformatics Genomics job openings in California as of August 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $155,600 per year, or $74.8 per hour.

Principal Scientist, Bioinformatics

Nkarta, Inc.

South San Francisco, CA • Hybrid

Full-time

Re-posted 25 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.

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