1

Bioinformatics Data Analyst Jobs (NOW HIRING)

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

Senior Bioinformatics Engineer

Chicago, IL ยท On-site

$125K - $200K/yr

... discovery, data analysis and interpretation, enabling unprecedented insights to understand ... Bioinformatics Architecture & Infrastructure - help design, implement, and maintain the robust ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

next page

Showing results 1-20

Bioinformatics Data Analyst information

See salary details

$6

$45

$82

How much do bioinformatics data analyst jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for bioinformatics data analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

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

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.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

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 Bioinformatics Data Analysts?

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.
More about Bioinformatics Data Analyst jobs
What cities are hiring for Bioinformatics Data Analyst jobs? Cities with the most Bioinformatics Data Analyst job openings:
What states have the most Bioinformatics Data Analyst jobs? States with the most job openings for Bioinformatics Data Analyst jobs include:
Infographic showing various Bioinformatics Data Analyst job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 23% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.
Bioinformatics Scientist (Postdoc)

Bioinformatics Scientist (Postdoc)

Element Biosciences

San Diego, CA โ€ข On-site

$95K - $110K/yr

Other

Medical, Retirement, PTO

Posted 13 days ago


Job description

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a highly skilled and motivated Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. The ideal candidate will have a strong foundation in bioinformatics and data analysis, with hands-on experience working with multiomic and single-cell data. This role focuses on generating high-quality analyses that support scientific publications, conference presentations, and customer-facing enablement. The candidate will collaborate closely with internal scientific teams and external partners to advance our multiomics platform and drive impactful research outcomes. This role will report to the VP, Bioinformatics and Scientific Affairs and is a 1-year post-doc program with the possibility of conversion to a full-time employment at the end of the program.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

  • Design, execute, and interpret multiomic and single-cell data analyses to generate publication-quality scientific insights
  • Develop and maintain bioinformatics pipelines and software tools to support platform development and customer enablement
  • Contribute to scientific publications and conference presentations, including manuscript preparation, figure generation, and data visualization
  • Collaborate closely with wet-lab scientists, product teams, and external partners to design experiments and interpret results
  • Apply statistical methods and exploratory data analysis to large multiomic datasets to identify biologically meaningful patterns
  • Communicate scientific findings to internal stakeholders and external audiences through reports, presentations, and peer-reviewed publications
  • Stay current with advances in sequencing technologies, multiomics methods, and bioinformatics best practices

Education and Experience:

  • PhD degree in Bioinformatics, Computational Biology, Genomics, or a related field with 0-3 years of experience
  • Demonstrated experience in bioinformatics data analysis, including RNA-seq, single-cell, and/or multiomic workflows
  • Proficiency in working with multiomic and single-cell data (e.g., scRNA-seq, CITE-seq, spatial transcriptomics)
  • Strong background in statistics and experimental design, including experience with differential expression and multi-group comparisons
  • Proficiency in programming languages and tools such as Python, R, and Bash, with experience in relevant bioinformatics libraries (e.g., Seurat, Scanpy, DESeq2)
  • Experience with cloud computing platforms (e.g., AWS)
  • Familiarity with standard bioinformatics tools, databases, and pipelines (e.g., STAR, GATK, CellRanger, cloud-based HPC environments such as AWS)
  • Track record of scientific contribution, including peer-reviewed publications or conference presentations
  • Experience with next-generation sequencing platforms and genomics workflows; familiarity with sequencing data QC and benchmarking is a plus
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills

Location:

  • San Diego onsite (hybrid potential)

Travel:ย 

  • Domestic travel up to 10%

Job Type:

  • Post-doc program (1 year contract)

Base Compensation Pay Range:

  • $95,000 - $110,000


ย 

In addition to base compensation noted above, you will be eligible for no cost health insurance plans, 401k with company match, and flexible paid time off.ย 

ย 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.ย 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.