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Clinical Bioinformatics Analyst Jobs (NOW HIRING)

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

Support biomedical and clinical research data analysis initiatives. * Analyze structured and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Support biomedical and clinical research data analysis initiatives. * Analyze structured and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Support biomedical and clinical research data analysis initiatives. * Analyze structured and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

... clinical Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great ...

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How much do clinical bioinformatics analyst jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for clinical bioinformatics analyst in the United States is $39.80, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $45.67 per hour, depending on experience, location, and employer.

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

To thrive as a Clinical Bioinformatics Analyst, you need a solid background in molecular biology, genetics, and bioinformatics, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with tools like Python, R, next-generation sequencing (NGS) analysis platforms, and experience with clinical databases are commonly required, along with certifications in genomics or data analysis as a plus. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting complex data and collaborating with healthcare teams. These skills ensure accurate analysis and interpretation of genomic data, directly impacting patient diagnosis, treatment decisions, and clinical research outcomes.

What does a Clinical Bioinformatics Analyst do?

A Clinical Bioinformatics Analyst is responsible for analyzing and interpreting complex biological data, particularly genetic and genomic information, to support clinical diagnostics and patient care. They use advanced computational tools and software to process sequencing data, identify genetic variants, and help clinicians understand the implications for disease diagnosis, prognosis, and treatment. Their work bridges the gap between laboratory science and clinical application, ensuring that genomic findings are accurately translated into actionable medical information.

What are common challenges faced by Clinical Bioinformatics Analysts when integrating genomic data into clinical workflows?

Clinical Bioinformatics Analysts often encounter challenges such as ensuring the accuracy and consistency of complex genomic datasets, adhering to strict data privacy regulations, and translating bioinformatics findings into actionable insights for clinicians. Collaboration with multidisciplinary teams—including genetic counselors, clinicians, and IT specialists—is essential to address data interpretation and integration hurdles. Staying up-to-date with evolving bioinformatics tools and clinical guidelines is also crucial for delivering reliable results in a fast-paced healthcare environment.
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What job categories do people searching Clinical Bioinformatics Analyst jobs look for? The top searched job categories for Clinical Bioinformatics Analyst jobs are:
Clinical Bioinformatics Analyst jobs near you
Scientist II, Clinical Bioinformatics

Scientist II, Clinical Bioinformatics

10x Genomics

Pleasanton, CA

Other

Posted 23 days ago

Job description

About The Role

10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.

The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics.

What You Will Be Doing:

  • Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis.
  • Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.
  • Design, implement and validate biomarkers for diagnostic applications.
  • Implement and maintain bioinformatics pipelines for reproducible, large-scale data processing.
  • Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.

To Be Successful, You Will Need:

  • Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis.
  • A minimum of 2 years of industry experience post Ph.D.
  • Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
  • In-depth understanding of the assumptions, limitations and caveats of statistical methods.
  • Experience developing and optimizing high-performance, scalable code.
  • Proficiency working in a Linux environment.
  • Goal-oriented, self-motivated and an independent problem solver.
  • Meticulous attention to detail and a conscientious work ethic.

Preferred Skills

  • Hands-on experience with 10x Genomics single-cell and in-situ transcriptomics technologies is a strong preference
  • Hands-on research experience in cancer or autoimmune diseases is a strong preference
  • Knowledge of clinical genomics, biomarker discovery and diagnostics
  • Development of statistical models and algorithms for single-cell or spatial transcriptomics data
  • Application of machine learning, particularly in the context of genomics
  • Proficiency with workflow orchestration frameworks such as Snakemake, Nextflow or Martian
  • Programming best practices including data analysis reproducibility, version control, design patterns, testing, debugging and profiling
  • Track record of writing production-level code or maintaining published software packages
  • High-throughput computing infrastructure such as HPCs or cloud computing

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