Bioinformatics Developer information
See Florida salary details
$11.79 - $14.40
0% of jobs
$14.40 - $17.02
0% of jobs
$17.02 - $19.63
0% of jobs
$19.63 - $22.24
0% of jobs
$22.24 - $24.86
0% of jobs
$24.86 - $27.47
0% of jobs
$27.47 - $30.08
0% of jobs
$30.73 is the 25th percentile. Wages below this are outliers.
$30.08 - $32.69
100% of jobs
How much do bioinformatics developer jobs pay per hour?
As of Sep 14, 2026, the average hourly pay for bioinformatics developer in Florida is $31.98, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $32.16 per hour, depending on experience, location, and employer.
A Bioinformatics Developer is a professional who combines expertise in biology, computer science, and mathematics to develop software tools and algorithms for analyzing biological data. They often work with genomic, proteomic, or other molecular data to help researchers interpret complex biological information. These developers play a key role in advancing research in areas such as genomics, drug discovery, and personalized medicine by creating efficient computational solutions to process and visualize large datasets.
To thrive as a Bioinformatics Developer, you need a strong background in biology, computer science, and mathematics, often supported by a degree in bioinformatics, computer science, or a related field. Proficiency with programming languages (such as Python, R, or Java), bioinformatics tools (like BLAST, GATK), and experience with databases and cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex biological data into actionable insights. These skills and qualities are essential for developing robust computational solutions that advance research and innovation in life sciences.
Bioinformatics Developers often encounter challenges when integrating new data sources, such as ensuring compatibility with existing pipeline formats, managing diverse data types, and maintaining data quality and integrity. Adapting to rapidly evolving data standards and accommodating large-scale datasets can also be complex, requiring frequent updates and optimization of scripts or software. Collaboration with biologists and data scientists is essential to accurately interpret data requirements and troubleshoot issues, making communication skills and adaptability key in this role.
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