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Computer Science Bioinformatics Jobs in California

Required Qualificati ons • PhD in bioinformatics, computational biology, computer science, or related fie ld. • Proven de novo assembly experience on long reads (PacBio HiFi and/or ONT ...

Master's degree (PhD preferred) in computational biology, computer science or a related field * 3+ ... Experience with bioinformatics tools including bcftools, samtools, bedtools, etc. * Ability to ...

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Master's in Bioinformatics, Computational Biology, Data Science, Computer Science, or similar field, with 5+ years of experience. * Strong understanding of data structures and transformations to ...

... Computer Science, Mathematics, or equivalent combination of education and related technical ... operational bioinformatics activities. * Advanced experience in large data management such as ...

Required : • Degree in computational biology, bioinformatics, computer science or similar • Experience analyzing complex multi-omic datasets, including human or single cell data • Experience ...

New

... Computer Science, Mathematics, or equivalent combination of education and related technical ... operational bioinformatics activities. * Advanced experience in large data management such as ...

... Computer Science, Mathematics, or equivalent combination of education and related technical ... operational bioinformatics activities. * Advanced experience in large data management such as ...

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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.

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 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:
What are popular job titles related to Computer Science Bioinformatics jobs in California? For Computer Science Bioinformatics jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Bioinformatics jobs in California look for? The top searched job categories for Computer Science Bioinformatics jobs in California are:
What cities in California are hiring for Computer Science Bioinformatics jobs? Cities in California with the most Computer Science Bioinformatics job openings:
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 Engineer

Bioinformatics Engineer

ACL Digital

Foster City, CA

$80/hr

Other

Posted 7 days ago


Job description

Job Title: Associate Scientist - Bioinformatics V / Bioinformatics Engineer

Location: Foster City, CA

Duration: 12+ Months

Pay rate: $80/hr on w2



Job Descriptio

nBioinformatics Engineer — T2T Genome Assembly (Non model Organisms

)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 Responsibiliti

es•Plan assembly approaches for non model organisms (data QC, genome profiling, contamination screening, coverage targets) and advise sequencing strateg

y.•Run and iterate long read assemblies and consensus refinement (e.g., hifiasm/Verkko/Flye/Canu; polishing as appropriate) toward chromosome scale, T2T quality result

s.•Resolve haplotypes and complex ploidy/heterozygosity (e.g., trio binning; Hi C/Strand seq assisted phasing) and deliver haplotype resolved assemblies when require

d.•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 decision

s.•Benchmark quality and completeness (e.g., k mer spectra/Merqury, BUSCO, QUAST, read mapping), including repeat/centromere/telomere assessments to guide iterative improvement

s.•Productionize workflows (Nextflow/Snakemake/WDL) with containers (Docker/Singularity) across on prem HPC and AWS; produce clear reports, docs, and release package


s.
Required Qualificati

ons•PhD in bioinformatics, computational biology, computer science, or related fie

ld.•Proven de novo assembly experience on long reads (PacBio HiFi and/or ONT), including tuning and iterative improveme

nt.•Assembly QC/validation expertise and ability to diagnose common failure modes in complex genom

es.•Strong scripting/programming skills (Python and/or Bash) in Linux; solid software engineering practices (Git, testing, documentatio

n).•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 scali


ng.
Preferred Qualificat

ions•Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene annotation is a pl

us).•Demonstrated progress toward T2T completeness (telomeres/centromeres/segmental duplications) and chromosome scale scaffold

ing.•Evidence of impact (reference releases, preprints/publications, community datasets) is a p

lus.Additional Skills (Nice to H

ave)•Annotation evidence integration by RNA-Seq and delivery of genome browser enabled tra

cks.•AWS pipeline operations (S3 data transfer, Batch or HealthOmics) and strong cross functional communication (clear status updates, documentation, handof


fs).

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About ACL Digital

Sourced by ZipRecruiter

ACL Digital is a global digital technology firm based in San Jose, CA, US, operating within the IT and services industry. The company offers a broad spectrum of services and solutions, including digital transformation, product engineering, industry solutions, and design-led experiences, among others. ACL Digital has its roots established in 1991 with the aim to become a leading-edge innovator in the digital space and has since grown significantly to work with an array of global customers. The company's mission incorporates a commitment to aiding customers to achieve their business goals by adopting and accelerating their digital transformation journeys.

Industry

Technology, communication and media

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

Year founded

1992