ZipRecruiter

Log In

1

Python Bioinformatics Jobs in California (NOW HIRING)

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... operational bioinformatics activities. * Advanced experience in large data management such as ...

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... operational bioinformatics activities. * Advanced experience in large data management such as ...

LLNL

Bioinformatics Scientist

Livermore, CA

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... operational bioinformatics activities. * Advanced experience in large data management such as ...

next page

Showing results 1-20

All JobsPython Bioinformatics JobsPython Bioinformatics Jobs in California

Python Bioinformatics information

See California salary details

$13

$57

$85

How much do python bioinformatics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for python bioinformatics in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python Bioinformatics job?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

Is AI going to replace bioinformatics?

AI is a tool that complements bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics roles require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field should focus on developing skills in programming, data analysis, and machine learning to stay relevant as AI advances.

What does a typical workday look like for a Python Bioinformatics professional?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

Is Python enough for bioinformatics?

Python is a widely used programming language in bioinformatics due to its versatility and extensive libraries like Biopython. However, bioinformatics often requires knowledge of other tools, scripting languages, and data analysis techniques to handle complex datasets effectively.

Is Python required for bioinformatics?

Python is widely used in bioinformatics roles because of its simplicity and extensive libraries for data analysis, scripting, and automation. Many bioinformatics jobs require proficiency in Python, along with knowledge of related tools like R or command-line interfaces, to analyze biological data effectively.

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

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

What is Python used for in bioinformatics?

In bioinformatics, Python is used for analyzing biological data, such as DNA, RNA, and protein sequences. It supports tasks like data processing, visualization, and automation through libraries like Biopython and Pandas, making it a popular programming language for researchers in the field.
What are popular job titles related to Python Bioinformatics jobs in California? For Python Bioinformatics jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Bioinformatics jobs in California look for? The top searched job categories for Python Bioinformatics jobs in California are:
What cities in California are hiring for Python Bioinformatics jobs? Cities in California with the most Python Bioinformatics job openings:
Python Bioinformatics jobs near you
Bioinformatics Scientist

Bioinformatics Scientist

NexInfo Solutions, Inc.

Foster City, CA • On-site

Other

This job post has expired 1 day ago. 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

Apply