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Full Time Bioinformatics Analyst Jobs (NOW HIRING)

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to ... data analysis. This is a full-time, on-site opportunity in Durham, NC. * Collaborate with ...

Guidehouse

Bioinformatics Scientist

Durham, NC

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Master's degree in Bioinformatics, Biostatistics, Computational Biology, or a biological/life ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Master's degree in Bioinformatics, Biostatistics, Computational Biology, or a biological/life ...

Kelly Services

Bioinformatics Scientist

Bethesda, MD · On-site +1

Performs computations on research data analysis. * Collaborate with scientists from other ... We offer a variety of full-time, project (SOW), seasonal, and surge support opportunities in ...

Guidehouse

Bioinformatics Scientist

Durham, NC

... and spatial omics data analysis.This is a full-time, on-site opportunity inDurham, NC ... Evaluate and implement new bioinformatics tools, statistical methods, and computational approaches ...

Kelly Services

Bioinformatics Scientist

Bethesda, MD · On-site

Perform computational analysis of deep sequencing data, including short-read and long-read ... We offer a variety of full-time, project (SOW), seasonal, and surge support opportunities in ...

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How much do full time bioinformatics analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full time bioinformatics 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 some typical challenges a Full Time Bioinformatics Analyst might face when working on large-scale genomics projects?

Bioinformatics Analysts working on large-scale genomics projects often encounter challenges such as managing and processing vast amounts of sequencing data, ensuring data quality, and integrating datasets from multiple sources. Additionally, they must stay current with rapidly evolving bioinformatics tools and pipelines while collaborating closely with researchers, biologists, and IT specialists. Effective communication and problem-solving skills are essential to address data discrepancies, interpret complex biological results, and deliver actionable insights to interdisciplinary teams.

What does a Full Time Bioinformatics Analyst do?

A Full Time Bioinformatics Analyst is responsible for analyzing complex biological data, such as DNA, RNA, and protein sequences, using computational tools and software. They work closely with researchers and scientists to interpret data generated from experiments, develop algorithms to process large datasets, and help draw meaningful conclusions from biological information. Their work is crucial in fields such as genomics, drug discovery, and personalized medicine, where they help turn raw biological data into actionable insights.

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

To thrive as a Full Time Bioinformatics Analyst, you need a solid background in molecular biology, statistics, and programming, usually supported by a degree in bioinformatics, computational biology, or a related field. Expertise in tools like Python, R, Linux, and bioinformatics databases, as well as familiarity with NGS data analysis pipelines, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex data. These skills are essential for ensuring accurate data analysis, driving research insights, and supporting scientific discovery in a fast-evolving field.

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

AspectFull Time Bioinformatics AnalystData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, healthcare, research organizations
Employer & Industry UsagePrimarily in biotech, pharma, healthcareBroad across industries including tech, finance, healthcare
Common Search & ComparisonYesYes

The main difference between a Full Time Bioinformatics Analyst and a Data Scientist lies in their focus and industry application. Bioinformatics Analysts primarily work with biological data in healthcare and biotech settings, requiring domain-specific knowledge. Data Scientists have a broader scope, working across various industries with data analysis and modeling skills. Both roles often require similar educational backgrounds but differ in their specialized tools and work environments.

What cities are hiring for Full Time Bioinformatics Analyst jobs? Cities with the most Full Time Bioinformatics Analyst job openings:
What are the most commonly searched types of Bioinformatics Analyst jobs? The most popular types of Bioinformatics Analyst jobs are:
What states have the most Full Time Bioinformatics Analyst jobs? States with the most job openings for Full Time Bioinformatics Analyst jobs include:
Full Time Bioinformatics Analyst jobs near you
Scientist II, Clinical Bioinformatics

Scientist II, Clinical Bioinformatics

10x Genomics

Pleasanton, CA • On-site

$123K - $167K/yr

Full-time

Medical, Retirement

Posted 18 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

Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company's total compensation package.
Pay Range
$123,400-$167,000 USD
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.

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