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Clinical Bioinformatics Jobs (NOW HIRING)

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas. * Effectively communicate ...

New

Linn Products, Inc

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas. * Effectively communicate ...

New

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next ...

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas. * Effectively communicate ...

New

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Clinical Bioinformatics information

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How much do clinical bioinformatics jobs pay per year?

As of Jul 23, 2026, the average yearly pay for clinical bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

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

Success in Clinical Bioinformatics requires a solid background in bioinformatics or computational biology, knowledge of genetics and genomics, and often a master’s or PhD degree in a related field. Proficiency with tools such as Python, R, next-generation sequencing analysis platforms, and familiarity with clinical data management systems is highly valued, along with relevant certifications like CCBIO or ABMGG when applicable. Strong problem-solving skills, attention to detail, and interdisciplinary communication abilities are critical soft skills. These competencies enable accurate analysis of complex biomedical data, effective collaboration with healthcare professionals, and the translation of genomic information into actionable clinical insights.

What biology jobs pay over $100k?

In clinical bioinformatics, roles such as senior bioinformatician, lead data scientist, or director of bioinformatics often have salaries exceeding $100,000 annually. These positions typically require advanced skills in genomics, programming, and data analysis, along with relevant experience and sometimes advanced degrees or certifications.

What does a clinical bioinformatician do?

A clinical bioinformatician analyzes and interprets biological data, such as genomic and genetic information, to support medical diagnoses and personalized treatment plans. They often use specialized software, programming skills, and knowledge of molecular biology within healthcare settings to facilitate data-driven clinical decisions.

What is a Clinical Bioinformatics job?

A Clinical Bioinformatics job involves the application of bioinformatics tools and computational methods to analyze clinical and genomic data for improving patient care. Professionals in this field work with healthcare providers, researchers, and data scientists to interpret complex biological data, often in the context of precision medicine, diagnostics, and treatment planning. They utilize programming, statistical analysis, and machine learning techniques to extract meaningful insights from genetic and molecular datasets. The role is crucial in integrating omics data with clinical practice to support personalized medicine and disease research.

What are the typical daily responsibilities of someone working in Clinical Bioinformatics?

A Clinical Bioinformatician’s daily tasks often include analyzing and interpreting genomic or molecular data, developing and validating bioinformatics pipelines, and preparing clinical reports to support patient diagnosis and treatment. They work closely with clinicians, laboratory scientists, and IT professionals to ensure that data analyses are accurate and clinically relevant. The role may also involve troubleshooting data quality issues, staying current with evolving technologies, and participating in multidisciplinary meetings. Collaboration and adaptability are key, as work often shifts to address urgent clinical cases or new research findings.

Is AI going to replace bioinformatics?

Clinical bioinformatics involves analyzing complex biological data, and AI tools are increasingly used to enhance data processing and interpretation. However, AI is a complement to human expertise, not a replacement, and bioinformaticians are essential for designing, validating, and overseeing these technologies in healthcare settings.

What jobs can I get with a bioinformatics degree?

A bioinformatics degree can lead to roles such as Clinical Bioinformatics Scientist, Bioinformatics Analyst, or Genomic Data Scientist. These positions often involve analyzing biological data, working with tools like R or Python, and may require knowledge of genomics, molecular biology, and programming. Employment can be found in healthcare, research institutions, biotech companies, and pharmaceutical industries.
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Clinical Bioinformatics jobs near you
Infographic showing various Clinical Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Scientist II, Clinical Bioinformatics

Scientist II, Clinical Bioinformatics

10x Genomics

Pleasanton, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

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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