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Bioinformatics Postdoc Jobs (NOW HIRING)

WI ยท On-site

$57 - $70/hr

Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine | Work Arrangement: Onsite only | Location: Houston, TX | Salary Range: $63,480 | FLSA Status: Exempt | Work ...

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Bioinformatics Scientist

Bethesda, MD ยท On-site

$65K - $108K/yr

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

Bioinformatics Scientist

Scotts Valley, CA ยท On-site

$80K - $130K/yr

Postdoctoral and/or industry experience is a major plus. * Experience developing and implementing novel bioinformatics algorithms and pipelines. * Extensive experience processing, integrating, and ...

Bioinformatics Scientist

Bethesda, MD ยท On-site

$65K - $108K/yr

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

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Bioinformatics Postdoc information

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$49K

$203.5K

$400K

How much do bioinformatics postdoc jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics postdoc in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics postdoc?

Bioinformatics postdocs are researchers who have completed their PhD and are engaged in advanced, temporary research positions focusing on bioinformatics. Their work typically involves the application of computational and statistical techniques to analyze biological data, such as genomics, transcriptomics, or proteomics datasets. Bioinformatics postdocs often work in academic, governmental, or industry labs, contributing to projects like disease gene discovery, drug development, or evolutionary studies. These positions are designed to further develop research skills, publish scientific papers, and prepare for independent research or faculty roles.

What are the key skills and qualifications needed to thrive as a bioinformatics postdoc?

To thrive as a Bioinformatics Postdoc, you need advanced knowledge in computational biology, genomics, and statistical analysis, usually backed by a PhD in bioinformatics or a related field. Expertise with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with high-performance computing are typically required. Strong analytical thinking, problem-solving abilities, and effective scientific communication set exceptional candidates apart. These skills and qualities are crucial for driving research innovation, interpreting complex biological data, and collaborating successfully within multidisciplinary teams.

What are some common challenges faced by bioinformatics postdocs when working on interdisciplinary projects?

Bioinformatics Postdocs often collaborate with researchers from diverse backgrounds such as biology, computer science, and statistics. A common challenge is bridging communication gaps between disciplines, as each field has its own terminology and expectations. Additionally, integrating complex biological data with computational pipelines requires both technical expertise and adaptability. Staying current with rapidly evolving bioinformatics tools and ensuring reproducibility of analyses are also key aspects to manage in these collaborative environments.
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What cities are hiring for Bioinformatics Postdoc jobs?

Cities with the most Bioinformatics Postdoc job openings:

What states have the most Bioinformatics Postdoc jobs?

States with the most job openings for Bioinformatics Postdoc jobs include:

Infographic showing various Bioinformatics Postdoc job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery

Statistics Interest Group

Tampa, FL โ€ข On-site

$55 - $75/hr

Other

Posted 3 days ago

New


Job description

Moffitt Cancer Center, Tampa , Florida, US โ€“ Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Position Title Postdoc Fellow for AI, Bioinformatics, Computational Biology, and Cancer Biomarker Discovery Company Information

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab, led by Dr. Xuefeng Wang, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Centerโ€”one of the nationโ€™s top-ranked cancer research institutes is recruiting two postdoctoral fellows focusing on AI, Bioinformatics, Cancer Omics and Biomarker Discovery.

Duties and Responsibilities

The fellow will contribute to cutting-edge projects leveraging artificial intelligence and advanced bioinformatics to drive innovation in cancer genomics and biomarker discovery. This position offers exceptional interdisciplinary training in both computational and translational oncology, providing direct access to high-performance computing infrastructure and rich collaborative resources across Moffitt's scientific community. The position is available immediately and will remain open until filled.

Position Qualifications

The Ideal Candidate:

  • Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
  • A highly motivated and independent researcher with a strong quantitative scientific background.
  • Prior experience in cancer genomics in not required, but a strong willingness and ability to learn new fields is highly desirable.
  • Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.

Responsibilities:

  • Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
  • Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
  • Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
  • Collaborate with clinicians and scientists across Moffitt clinical and research programs.
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