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Bioinformatics Data Analyst Jobs in California (NOW HIRING)

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Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for bioinformatics data analyst in California is $45.22, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $48.41 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

What are popular job titles related to Bioinformatics Data Analyst jobs in California?

For Bioinformatics Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in California look for?

The top searched job categories for Bioinformatics Data Analyst jobs in California are:

What cities in California are hiring for Bioinformatics Data Analyst jobs?

Cities in California with the most Bioinformatics Data Analyst job openings:

Infographic showing various Bioinformatics Data Analyst job openings in California as of August 2026, with employment types broken down into 71% Full Time, 8% Part Time, 4% Temporary, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $94,060 per year, or $45.2 per hour.

Research Bioinformatician II - Knott Lab

Cedars Sinai

West Hollywood, CA • On-site

Full-time

Posted 10 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,065 rated hospitals


Job description

The Knott Laboratory at Cedars-Sinai Medical Center is seeking to hire a highly motivated computational scientist to fill the position of Research Bioinformatician II!

The Knott laboratory utilizes human samples and mouse models to generate multi-omic datasets using single-cell RNA- and ATAC-seq, ChIPseq, Proteomics, Spatial Transcriptomics and Functional Genomics. The ultimate goal is to integrate these data to provide deeper knowledge of the interplay between the tumor and its immune microenvironment and how these interactions provide support of tumor evolution via plasticity, metastatic progression, and therapy resistance. The Research Bioinformatician will be a critical team member that provides data that will inform follow-up functional validation experiments that provide an important rationale for the initiation of the first in human clinical trials. To learn more, please visit: Knott Research Lab | Cedars-Sinai.

Are you ready to be a part of breakthrough research?

The Research Bioinformatician II performs general bioinformatics analysis and software support for projects involving in omics, and interacts with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RBII manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The RBII assists in development, testing, and maintenance of modular software pipelines, provides bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. The Research Bioinformatician II also works with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The Bioinformatician II demonstrates continuous self-improvement, makes effective contributions to the section, and adheres to the Cedars-Sinai compliance plan, code of conduct, and hospital and departmental policies and procedures.

Primary Job Duties & Responsibilities:

  • Provides general bioinformatics analysis support for omic projects. Responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.
  • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.
  • Develops, tests, and maintains modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences.
  • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats.
  • Provides solutions for investigator's problems through data mining and extraction.
  • Identifies, evaluates, and incorporates relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology.
  • Assists and/or collaborates in preparation of grant proposals, publications, and presentations involving omic data.
  • Helps develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology.
  • Educates others about bioinformatics through mentoring of and teaching colleagues, investigators, fellows, and graduate students.
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 915 licensed beds, 2,993 physicians, 4,700+ nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

Education:

  • Bachelor's of Science Degree in Computer Science, Electric Engineering, Computational Biology, or Bioinformatics, or a Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics) is required.
  • Master's or Doctorate Degree in Computer Science or a related computational field is preferred.

Experience & Skills:

  • Three (3) years of experience in research environment including developing working knowledge in algorithms, scientific computing, and machine learning or statistics.
  • Three (3) years of experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions.
  • Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment.
  • Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases.

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