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Clinical Bioinformatics Jobs (NOW HIRING)

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 ...

Additional training in Bioinformatics or Clinical Informatics with certification/ eligibility is preferred. The ability to conduct independent research is required, and a history of obtaining ...

... clinical microbiology. Today, worldwide more than 11000 employees are working on this permanent ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

... clinical microbiology. Today, worldwide more than 11000 employees are working on this permanent ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

... clinical microbiology. Today, worldwide more than 11000 employees are working on this permanent ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

... clinical microbiology. Today, worldwide more than 11000 employees are working on this permanent ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

... clinical microbiology. Today, worldwide more than 11000 employees are working on this permanent ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

... Genetics' clinical testing and genomic data analysis capabilities. The Lead Bioinformatics AI ... Scientist will play a central role in AI-powered genomics research and data analysis, focusing on ...

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Clinical Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do clinical bioinformatics jobs pay per year?

As of Jun 12, 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 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?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to replace the role of bioinformaticians. Clinical bioinformatics professionals use AI alongside traditional methods to interpret complex biological data, requiring expertise in both biology and computational techniques. The field continues to evolve with AI supporting, not replacing, human judgment and specialized knowledge.

Is bioinformatics in high demand?

Bioinformatics, including roles like Clinical Bioinformatics, is in high demand due to the growth of genomic research and personalized medicine. Professionals with skills in data analysis, programming, and knowledge of biological data are sought after in healthcare, research institutions, and biotech companies.

Is bioinformatics a high paying job?

Clinical bioinformatics is generally considered a well-paying field, especially for those with advanced degrees and specialized skills in data analysis, programming, and genomics. Salaries can vary based on experience, location, and industry, but it is often among the higher-paying roles in healthcare and research sectors.

What jobs can I get with a bioinformatics degree?

With a bioinformatics degree, you can pursue roles such as Clinical Bioinformatician, Bioinformatics Analyst, or Genomic Data Scientist. These positions often involve analyzing biological data, working with sequencing tools, and collaborating with healthcare or research teams in laboratory or clinical settings.
What cities are hiring for Clinical Bioinformatics jobs? Cities with the most Clinical Bioinformatics job openings:
What are the most commonly searched types of Clinical Bioinformatics jobs? The most popular types of Clinical Bioinformatics jobs are:
What states have the most Clinical Bioinformatics jobs? States with the most job openings for Clinical Bioinformatics jobs include:
Infographic showing various Clinical Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 15% As Needed, 1% Full Time, 80% Part Time, 1% Temporary, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% 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

Posted 15 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