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Bioinformatics Data Scientist Jobs in Florida (NOW HIRING)

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Experience with data visualization tools/libraries such as ggplot, heatmaps, or ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Experience with data visualization tools/libraries such as ggplot, heatmaps, or ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Experience with data visualization tools/libraries such as ggplot, heatmaps, or ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or ...

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Bioinformatics Data Scientist information

See Florida salary details

$28K

$91.7K

$146.8K

How much do bioinformatics data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bioinformatics data scientist in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What does a bioinformatics data scientist do?

A bioinformatics data scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and statistical methods. They develop algorithms, interpret large datasets, and collaborate with researchers to uncover insights related to health, genetics, and disease, often using programming languages like Python or R. Strong analytical skills and knowledge of biology are essential for this role.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

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

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Florida? The most popular types of Bioinformatics Data Scientist jobs in Florida are:
What are popular job titles related to Bioinformatics Data Scientist jobs in Florida? For Bioinformatics Data Scientist jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Bioinformatics Data Scientist jobs? Cities in Florida with the most Bioinformatics Data Scientist job openings:
Infographic showing various Bioinformatics Data Scientist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist IV

University of Florida

Gainesville, FL • On-site

$98K - $110K/yr

Full-time

Re-posted 14 days ago


University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

383rd of 617 rated colleges and universities


Job description

Data Scientist IV
Job no: 539287
Work type: Staff Full-Time
Location: Main Campus (Gainesville, FL)
Categories: Health Care Administration/Support
Department:57720000 - INSTITUTE-CHILD HEALTH POLICY
Classification Title:
Data Scientist IV
Classification Minimum Requirements:
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.
Job Description:
The Institute for Child Health Policy (ICHP) at the University of Florida is seeking a Data Scientist IV to join its leadership team. This role focuses on supporting research and program evaluation for Medicaid and the Children's Health Insurance Program (CHIP), assessing the quality of care for beneficiaries.
The ideal candidate will have expertise in administrative healthcare data, Medicaid policy, and advanced analytical methods. Responsibilities include leading research projects, developing data-driven insights, collaborating with a multidisciplinary team of health policy researchers and economists, and authoring technical reports. Strong communication skills and a proven track record in data science are essential.
Research Development: Leverage expertise in healthcare administrative and clinical data to support the design and execution of research studies evaluating healthcare quality, access, and outcomes for the Medicaid population. Apply advanced analytical methods and predictive analytics to address key complex policy and operational questions. Lead development of study frameworks, analytic plans, and methodological documentation. Collaborate with multidisciplinary research teams to identify critical healthcare challenges and translate research objectives into executable analytic strategies. Serve as lead or first author on technical reports, policy briefs, peer-reviewed journal articles, and other scholarly or applied publications. Produce high-quality written products suitable for internal leadership, state and federal stakeholders, and academic dissemination.
Data Analytics: Apply data science methodologies using SAS, Python, R, and SQL to analyze large-scale healthcare administrative and clinical datasets. Develop, optimize, and validate analytic code and database queries to integrate multi-source data into centralized analytic environments. Ensure rigorous data transformation, quality assurance, and reproducibility of analytic workflows. Interpret findings within the context of Medicaid policy and healthcare delivery systems.
Scientific Reporting and Policy Integration: Interpret and apply state and federal regulations relevant to assigned projects, identifying policy implications based on research findings and integrating recommendations into descriptive and technical reports. Demonstrate exceptional written and verbal communication skills, including the ability to independently author technical documentation, methodological appendices, analytic summaries, and executive-level briefings. Drive strategic initiatives, lead enterprise change management efforts, and foster collaborations with external stakeholders within the Medicaid agency.
Team Development, Training, and Hiring: Participate in recruitment, training, supervision, and mentorship of analytic staff. Provide guidance on methodological rigor, documentation standards, reproducibility practices, and professional development. Lead or co-lead project teams, providing strategic, tactical, and operational leadership. Promote a culture of analytical excellence, scholarly contribution, and high-quality written and oral communication.
Other Duties: Support drafting budgets, data use agreements, and other project-related duties as assigned.
Expected Salary:
$98,000 - $110,000
Required Qualifications:
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.
Preferred:
5+ years of client relations activities, interpreting and synthesizing client requirements and effectively communicating complex healthcare analytic outcomes to client satisfaction.
Experience in mining large payer databases with various healthcare benefit structures for Federal and State public plans.
Strong supervisory experience leading project teams and/or demonstrated mentorship ability guiding new analysts.
Excellent written and oral communication skills. Ability to communicate technical outcomes with a high degree of detail and precision to technical audiences, while at the same time being able to communicate those outcomes to non-technical audiences in an approachable and understandable manner.
Exceptional problem-solving abilities, strong organizational skills, attention to detail, and the ability to multitask while meeting deadlines.
Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This is a time limited position.
This requisition will be used to fill multiple positions.
This requisition has been reposted. Previous applicants are still under consideration and need not apply.
Health Assessment Required:No
Advertised: 27 Jul 2026 Eastern Daylight Time
Applications close: 09 Aug 2026 Eastern Daylight Time
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853