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Bioinformatics Associate Jobs in Berkeley, CA (NOW HIRING)

BillionToOne

Research Associate

Menlo Park, CA

$104K/yr

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early ... Collaborate with other teams to implement lab and bioinformatic workflows * Contribute positively ...

BillionToOne

Research Associate

Menlo Park, CA · On-site

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early ... Collaborate with other teams to implement lab and bioinformatic workflows * Contribute positively ...

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All JobsBioinformatics Associate JobsBioinformatics Associate Jobs in Berkeley, CA

Bioinformatics Associate information

See Berkeley, CA salary details

$60K

$249.1K

$489.8K

How much do bioinformatics associate jobs pay per year?

As of Jul 4, 2026, the average yearly pay for bioinformatics associate in Berkeley, CA is $249,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $489,800.00 per year, depending on experience, location, and employer.

What Does a Bioinformatics Associate Do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate, and why are they important?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.
More about Bioinformatics Associate jobs
What are the most commonly searched types of Bioinformatics jobs in Berkeley, CA? The most popular types of Bioinformatics jobs in Berkeley, CA are:
What are popular job titles related to Bioinformatics Associate jobs in Berkeley, CA? For Bioinformatics Associate jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Associate jobs in Berkeley, CA look for? The top searched job categories for Bioinformatics Associate jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Bioinformatics Associate jobs? Cities near Berkeley, CA with the most Bioinformatics Associate job openings:
Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Berkeley, CA as of June 2026, with employment types broken down into 2% As Needed, 23% Full Time, 72% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $249,134 per year, or $119.8 per hour.
Associate Scientist - Bioinformatics V

Associate Scientist - Bioinformatics V

NexInfo Solutions, Inc.

Foster City, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title:  Associate Scientist - Bioinformatics V

Location:  Foster City Ca

Duration : Long Term Contract
Jd:
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).

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