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Associate Computational Biologist Jobs in Florida

The Research Associate 2, contributes to the University's research activities under the supervision ... Serve as a bridge between computational biology and wet-lab research by analyzing multi-omics ...

Associate Scientist The University of Miami/UHealth Hussman Institute has an exciting opportunity ... computational biology into ongoing projects * Supervise, train and instruct fellows, students, and ...

Associate Scientist

Miami, FL · On-site

$90 - $120/hr

Associate ScientistThe University of Miami/UHealth Hussman Institute has an exciting opportunity ... computational biology into ongoing projectsSupervise, train and instruct fellows, students, and ...

Associate Scientist The University of Miami/UHealth Hussman Institute has an exciting opportunity ... computational biology into ongoing projects * Supervise, train and instruct fellows, students, and ...

The Research Associate 2, contributes to the University's research activities under the supervision ... Serve as a bridge between computational biology and wet-lab research by analyzing multi-omics ...

The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The ... computational biology into ongoing projects Supervise, train and instruct fellows, students, and ...

The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The ... computational biology into ongoing projects Supervise, train and instruct fellows, students, and ...

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Showing results 1-20

Associate Computational Biologist information

See Florida salary details

$36.2K

$70.2K

$99.8K

How much do associate computational biologist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for associate computational biologist in Florida is $70,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $87,400.00 per year, depending on experience, location, and employer.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

What are the key skills and qualifications needed to thrive in the associate computational biologist position, and why are they important?

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What are the most commonly searched types of Computational Biologist jobs in Florida?

The most popular types of Computational Biologist jobs in Florida are:

What job categories do people searching Associate Computational Biologist jobs in Florida look for?

The top searched job categories for Associate Computational Biologist jobs in Florida are:

What cities in Florida are hiring for Associate Computational Biologist jobs?

Cities in Florida with the most Associate Computational Biologist job openings:

Infographic showing various Associate Computational Biologist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $70,237 per year, or $33.8 per hour.

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

Statistics Interest Group

Tampa, FL • On-site

$55 - $75/hr

Other

Posted 5 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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