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Full Time Bioinformatics Analyst Jobs in California

CareDx, Inc.

Sr. Staff Biostatistician

Brisbane, CA · On-site

Responsibilities: • Co-lead research design and analytical strategies in clinical studies ... to a full-time employee who makes the selfless act of donating an organ or bone marrow. With ...

CareDx, Inc.

Sr. Staff Biostatistician

Brisbane, CA · On-site

Develop and execute complex analysis strategies, author/co-author reports, abstracts and ... to a full-time employee who makes the selfless act of donating an organ or bone marrow. With ...

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Full Time Bioinformatics Analyst information

What does a full time bioinformatics analyst do?

A Full Time Bioinformatics Analyst is responsible for analyzing complex biological data, such as DNA, RNA, and protein sequences, using computational tools and software. They work closely with researchers and scientists to interpret data generated from experiments, develop algorithms to process large datasets, and help draw meaningful conclusions from biological information. Their work is crucial in fields such as genomics, drug discovery, and personalized medicine, where they help turn raw biological data into actionable insights.

What are the key skills and qualifications needed to thrive as a full time bioinformatics analyst?

To thrive as a Full Time Bioinformatics Analyst, you need a solid background in molecular biology, statistics, and programming, usually supported by a degree in bioinformatics, computational biology, or a related field. Expertise in tools like Python, R, Linux, and bioinformatics databases, as well as familiarity with NGS data analysis pipelines, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex data. These skills are essential for ensuring accurate data analysis, driving research insights, and supporting scientific discovery in a fast-evolving field.

What are some typical challenges a full time bioinformatics analyst might face when working on large-scale genomics projects?

Bioinformatics Analysts working on large-scale genomics projects often encounter challenges such as managing and processing vast amounts of sequencing data, ensuring data quality, and integrating datasets from multiple sources. Additionally, they must stay current with rapidly evolving bioinformatics tools and pipelines while collaborating closely with researchers, biologists, and IT specialists. Effective communication and problem-solving skills are essential to address data discrepancies, interpret complex biological results, and deliver actionable insights to interdisciplinary teams.

What is the difference between Full Time Bioinformatics Analyst vs Data Scientist?

AspectFull Time Bioinformatics AnalystData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, healthcare, research organizations
Employer & Industry UsagePrimarily in biotech, pharma, healthcareBroad across industries including tech, finance, healthcare
Common Search & ComparisonYesYes

The main difference between a Full Time Bioinformatics Analyst and a Data Scientist lies in their focus and industry application. Bioinformatics Analysts primarily work with biological data in healthcare and biotech settings, requiring domain-specific knowledge. Data Scientists have a broader scope, working across various industries with data analysis and modeling skills. Both roles often require similar educational backgrounds but differ in their specialized tools and work environments.

What are the most commonly searched types of Bioinformatics Analyst jobs in California?

The most popular types of Bioinformatics Analyst jobs in California are:

What cities in California are hiring for Full Time Bioinformatics Analyst jobs?

Cities in California with the most Full Time Bioinformatics Analyst job openings:

Full Time Bioinformatics Analyst jobs near you

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Re-posted 11 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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