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Computational Genomics Jobs in Florida (NOW HIRING)

... in computational genomics, emphasizing best practices in statistical modeling, reproducible research, and open-source software development. Seek independent funding from federal agencies and ...

... in computational genomics, emphasizing best practices in statistical modeling, reproducible research, and open-source software development. Seek independent funding from federal agencies and ...

... genomics, landscape genetic analysis, source-sink dynamics, CKMR, metabarcoding bioinformatics analysis in marine fish and mammal species, and eDNA data analysis. * Use statistical and computational ...

Bioinformaticist

Miami, FL · On-site

$90K - $120K/yr

... genomics, landscape genetic analysis, source-sink dynamics, CKMR, metabarcoding bioinformatics analysis in marine fish and mammal species, and eDNA data analysis. * Use statistical and computational ...

... genomics, landscape genetic analysis, source-sink dynamics, CKMR, metabarcoding bioinformatics analysis in marine fish and mammal species, and eDNA data analysis. * Use statistical and computational ...

... genomic datasets including RADseq, WGS, population genomics, metabarcoding, and eDNA; and ... Use statistical and computational approaches to assess data and results that influence fisheries ...

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Computational Genomics information

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$30

$41

$55

How much do computational genomics jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for computational genomics in Florida is $41.05, according to ZipRecruiter salary data. Most workers in this role earn between $35.05 and $54.95 per hour, depending on experience, location, and employer.

What are the most common daily responsibilities for someone working in Computational Genomics?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.

What is a Computational Genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

What are the key skills and qualifications needed to thrive in the Computational Genomics position, and why are they important?

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

Infographic showing various Computational Genomics job openings in Florida as of July 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $85,378 per year, or $41 per hour.
Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Moffitt Cancer Center

Tampa, FL • On-site

$46K - $62K/yr

Full-time

Posted 12 days ago


Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

69th of 890 rated healthcare providers


Job description

Job Summary:
Moffitt Cancer Center is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, dedicated to the prevention and cure of cancer. They are seeking a Postdoctoral Fellow in Bioinformatics to participate in research projects leveraging chemoproteomics and cancer genomics data to advance cancer biology and therapeutic discovery.
Responsibilities:
• Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
• Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
• Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
• Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
• Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
• Mentor junior researchers and contribute to grant writing and manuscript preparation
Qualifications:
Required:
• PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
• Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
• Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
• Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
• Strong understanding of statistics and machine learning concepts as applied to biological data
• Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
• Ability to work independently and collaboratively in a multidisciplinary research environment
Preferred:
• Experience with drug development and/or chemistry
• Familiarity with AI/ML approaches for biological data analysis
• Prior experience in cancer research or translational bioinformatics
Company:
Moffitt Cancer Center are contribute to the prevention and cure of cancer. Founded in 1984, the company is headquartered in Tampa, USA, with a team of 10001+ employees. The company is currently Late Stage.

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