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Computer Science Bioinformatics Jobs in California

GATC Health

Bioinformatics Analyst - CA

Irvine, CA

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

ACL Digital

Bioinformatics Engineer

Foster City, CA

$70 - $80/hr

Required Qualifications • PhD in bioinformatics, computational biology, computer science, or related field. • Proven de novo assembly experience on long reads (PacBio HiFi and/or ONT), including ...

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How much do computer science bioinformatics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for computer science bioinformatics in California is $42.23, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $42.45 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

Bioinformatics professionals use AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise in interpreting complex biological information. Skills in programming, data analysis, and understanding biological concepts remain essential for bioinformatics roles, with AI serving as a complementary tool to improve efficiency and accuracy.

Is bioinformatics a high paying job?

Bioinformatics professionals, including those with roles in computer science and biology, often earn competitive salaries due to their specialized skills in programming, data analysis, and biological research. Salaries vary based on experience, education, location, and industry, but many positions offer above-average compensation compared to other entry-level science roles.

How is computer science used in bioinformatics?

In bioinformatics, computer science provides tools and methods for analyzing biological data, such as DNA, RNA, and protein sequences. It involves developing algorithms, databases, and software to interpret large datasets, enabling discoveries in genomics, drug development, and personalized medicine. Skills in programming, data structures, and computational modeling are essential for bioinformatics roles.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

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

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common job roles include bioinformatics analyst, computational biologist, research scientist, and data analyst. These positions 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 Computer Science Bioinformatics jobs in California? The most popular types of Computer Science Bioinformatics jobs in California are:
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Computer Science Bioinformatics jobs near you
Infographic showing various Computer Science Bioinformatics job openings in California as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,834 per year, or $42.2 per hour.
Bioinformatics Scientist

Bioinformatics Scientist

NexInfo Solutions, Inc.

Foster City, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Nexinfo:

NexInfo is a consulting firm focused on improving business processes and automation in the Supply Chain and Product Lifecycle Management sectors. We offer services in business process design, software implementations, managed services, staff augmentation, and SaaS solutions.
We aims to help businesses across industries achieve their goals through industry best practices, lean process design, and advanced software solutions. Our ERP-related services address challenges such as inventory management,product lifecycle management, demand management, forecasting, sales and operations planning, business intelligence, security compliance, and financial alignment.

Job Title: Bioinformatics Engineer

Location: Foster City CA(Onsite)

Type: Contract

This is a 12 month contract Bioinformatics Engineer role to deliver telomere to telomere (T2T) reference genomes for non model organisms by building and operating long read assembly and curation pipelines using PacBio HiFi and/or Oxford Nanopore, with complementary data (Hi C/Omni C, Strand seq, optical maps, short reads) as needed. You will partner with wet lab and computational teams to troubleshoot complex genomes (polyploidy, high heterozygosity, repeats) and package results for internal and external release.
Key Responsibilities
Plan assembly approaches for non model organisms (data QC, genome profiling, contamination screening, coverage targets) and advise sequencing strategy.
Run and iterate long read assemblies and consensus refinement (e.g., hifiasm/Verkko/Flye/Canu; polishing as appropriate) toward chromosome scale, T2T quality results.
Resolve haplotypes and complex ploidy/heterozygosity (e.g., trio binning; Hi C/Strand seq assisted phasing) and deliver haplotype resolved assemblies when required.
Scaffold and curate assemblies with long range data (e.g., Hi C/Omni C, Strand seq, optical maps): detect/resolve mis joins, close gaps where feasible, and document curation decisions.
Benchmark quality and completeness (e.g., k mer spectra/Merqury, BUSCO, QUAST, read mapping), including repeat/centromere/telomere assessments to guide iterative improvements.
Productionize workflows (Nextflow/Snakemake/WDL) with containers (Docker/Singularity) across on prem HPC and AWS; produce clear reports, docs, and release packages.
Required Qualifications
PhD in bioinformatics, computational biology, computer science, or related field.
Proven de novo assembly experience on long reads (PacBio HiFi and/or ONT), including tuning and iterative improvement.
Assembly QC/validation expertise and ability to diagnose common failure modes in complex genomes.
Strong scripting/programming skills (Python and/or Bash) in Linux; solid software engineering practices (Git, testing, documentation).
Workflow + compute operations experience: Nextflow/Snakemake/WDL; running large genomics workloads on on prem HPC (e.g., Slurm/LSF) and AWS (e.g., Batch/HealthOmics), with cost aware scaling.
Preferred Qualifications
Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene annotation is a plus).
Demonstrated progress toward T2T completeness (telomeres/centromeres/segmental duplications) and chromosome scale scaffolding.
Evidence of impact (reference releases, preprints/publications, community datasets) is a plus.
Additional Skills (Nice to Have)
Annotation evidence integration by RNA-Seq and delivery of genome browser enabled tracks.
AWS pipeline operations (S3 data transfer, Batch or HealthOmics) and strong cross functional communication (clear status updates, documentation, handoffs).
Thanks and Regards,
Joseph

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