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Entry Level Bioinformatics Computational Biology Jobs

Langara

Instructor, Bioinformatics

Campus, IL

MSc in Bioinformatics, Computational Biology, Molecular Biology, Biochemistry, Biotechnology, Proteomics, Metabolomics, Biostatistics, Data Science, or a related discipline; PhD preferred. * Post ...

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Guidehouse

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Master's Degree in Bioinformatics, Computational Biology, or a related discipline. * A minimum of TWO (2) years of experience working with large, multimodal single-cell datasets. * Proficiency in ...

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How much do entry level bioinformatics computational biology jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level bioinformatics computational biology 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 the difference between Entry Level Bioinformatics Computational Biology vs Entry Level Data Analyst?

AspectEntry Level Bioinformatics Computational BiologyEntry Level Data Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, or Computer Science; familiarity with programming and biological dataBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, academic institutionsBusiness, healthcare, finance sectors
Industry UsageGenomics, drug discovery, personalized medicineMarket research, financial analysis, healthcare analytics

Entry Level Bioinformatics Computational Biology focuses on analyzing biological data using computational methods, often in research settings. Entry Level Data Analyst interprets data across various industries, emphasizing business insights. While both roles require analytical skills and familiarity with data tools, their industry applications and specific data types differ significantly.

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Entry Level Bioinformatics Computational Biology jobs near you
Infographic showing various Entry Level Bioinformatics Computational Biology job openings in the United States as of September 2026, with employment types broken down into 65% Full Time, 32% Part Time, and 3% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% 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

Tampa, FL • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

Other

Posted 13 days ago

Job description

Moffitt Cancer Center, Tampa , Florida, US – 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 Center—one of the nation’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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