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Statistical Programmer Jobs in Tampa, FL (NOW HIRING)

BIOSTATISTICIAN LEAD

Tampa, FL · On-site

$73K - $120K/yr

Proficiency in statistical programming and data analysis software Experience with complex biomedical or genomic datasets Knowledge of advanced statistical modeling techniques Familiarity with ...

Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering BENEFITS as a full-time RMS Employee, you will be eligible for: * 100% employer paid HSA medical ...

Mainframe Capacity Planning Engineer - US

Tampa, FL · On-site

$46.25 - $59.50/hr

Mainframe Capacity Planning Engineer Experience: 5 to 10 Years Employment: W2 (GC and USC only ... One should have a solid background in descriptive statistics to extrapolate insight from large ...

Bachelor's degree in Engineering (Chemical, Mechanical, Industrial, Materials, or related) or ... Statistical analysis experience (e.g., JMP) and ability to apply DOE, SPC, and capability studies ...

They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a ...

Part Time Engineering Student Intern

Tampa, FL · On-site

$15.75 - $20.50/hr

Experience with data management, statistical analysis, and technical writing is a bonus. Key ... Engineering classes related to water resources * Working towards a Bachelor's Degree in related ...

Talent Analytics Sr Analyst (Location Flexible)

Tampa, FL · On-site

$83K - $110K/yr

Bachelor's degree in Computer Science, Mathematics, Management Information Systems, Data Science, Statistics, Engineering or similar from an accredited college/university (Required) * Master's degree ...

Showing results 21-40

Statistical Programmer information

See Tampa, FL salary details

$74.1K

$129.2K

$218.4K

How much do statistical programmer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistical programmer in Tampa, FL is $129,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $140,400.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Tampa, FL?

The most popular types of Statistical Programmer jobs in Tampa, FL are:

What are popular job titles related to Statistical Programmer jobs in Tampa, FL?

For Statistical Programmer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer jobs in Tampa, FL look for?

The top searched job categories for Statistical Programmer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Statistical Programmer jobs?

Cities near Tampa, FL with the most Statistical Programmer job openings:

Infographic showing various Statistical Programmer job openings in Tampa, FL as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $129,207 per year, or $62.1 per hour.

Joint Test & Evaluation Program Officer (TS/SCI Eligible)

Contact Government Services, LLC

Tampa, FL

$130K - $150K/yr

Full-time

Re-posted 3 days ago


Job description

Group and Job Profile Guidance: 
The Joint Test & Evaluation (JT&E) program considers emerging
technologies and the increasingly complex and dynamic joint, multi-domain operational environment to develop non-material solutions intended to enhance the United States’ operational effectiveness,
suitability, and survivability in combat.

Primary Job Functions: 
As a member of the Joint Test & Evaluation Support Cell (JTSC) this individual will support the programmatic evaluation and analysis of Combatant Command Test Nominations and subsequent approved execution.

•Conduct quantitative and qualitative analysis to support Joint Test & Evaluation (JT&E) projects and enhance operational decision-making.
•Apply statistical methods, modeling & simulation techniques, and operations research methodologies to assess joint military operations and improve mission effectiveness.
•Develop and implement data-driven solutions to optimize military operations, force readiness, and strategic planning.
•Utilize computer-based analytical tools to evaluate operational performance and identify areas for improvement.
•Identify risks, limitations, and operational challenges in joint military environments and recommend analytical solutions.
•Applying process modeling and analytical techniques to identify operational challenges and develop effective solutions.
•Conducting problem decomposition, concept development, and data-driven analysis to support joint military operations.
•Providing parametric and non-parametric statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and survey test and evaluation methods.

Qualifications and Experience:
•Master's Degree in Operations Research, Mathematics, Statistics, Engineering, or a related technical field.
•A Master's Degree in a non-technical field may be substituted with 10+ years of ORSA-related experience in military or government civilian experience.
•Alternatively, a Bachelor’s Degree in a technical field with an additional 5 years of ORSA-related experience (totaling 10 years) may also be considered.
•Proficiency in statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and human factors analysis.
•Experience developing test and evaluation plans. (preferred but not required)

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