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Statistical Programming Jobs in Jacksonville, FL

Integrated Resources INC

Biostatician

Jacksonville, FL · On-site

Assists in writing statistical analysis plans and system programming plans for all phases of clinical studies. Supports the basic activities of clinical study design related to the implementation of ...

Halff

Coastal Engineer

Jacksonville, FL

Coastal Engineer: We are seeking a motivated and technically skilled Coastal Engineer to join our ... Perform analyses of wave statistics, tides, and sediment transport. * Assist with the permitting ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development ... Engineering, and senior executives) to rapidly execute and iterate Noting anomaly detection and ...

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Showing results 41-60

All JobsStatistical Programming JobsStatistical Programming Jobs in Jacksonville, FL

Statistical Programming information

See Jacksonville, FL salary details

$78.3K

$136.5K

$230.7K

How much do statistical programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical programming in Jacksonville, FL is $136,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are popular job titles related to Statistical Programming jobs in Jacksonville, FL?

For Statistical Programming jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Statistical Programming jobs in Jacksonville, FL look for?

The top searched job categories for Statistical Programming jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Statistical Programming jobs?

Cities near Jacksonville, FL with the most Statistical Programming job openings:

Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $136,475 per year, or $65.6 per hour.

Information Technology_USA - USA_Analyst

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 20 days ago

Job description

No Visa candidates, Looking for visa independent Associates. GC/USC only.
2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: NewYork, NY - Remote (once in few months, collaboration meetings scheduled, so associate required to attend for a day or two)
Duration: 6 months
skill id: 10810549
No Visa candidates, Looking for visa independent Associates. GC/USC only.
Competencies[RATE REDACTED]+ years experience required
Digital : Data Science
Digital : Python
Digital : Machine Learning
MySQL
No Visa candidates, Looking for visa independent Associates
Job Description - Data Scientist
Role Summary:
The Data Scientist will be responsible for applying statistical analysis, machine learning, and data mining techniques to solve business problems and generate actionable insights. The role focuses on structured data analytics, predictive modeling, and business decision support using traditional data science methods.
Key Responsibilities
• Perform data exploration, cleaning, and preprocessing on structured and semi-structured datasets
• Develop and implement statistical models and machine learning algorithms (regression, classification, clustering, time series)
• Conduct hypothesis testing and exploratory data analysis (EDA) to identify trends and patterns
• Build predictive and forecasting models to support business decisions
• Translate business requirements into analytical problems and modeling approaches
• Design and execute A/B testing and experimental analysis
• Create data visualizations and dashboards to communicate insights clearly
• Collaborate with business stakeholders to drive data-driven decision making
• Validate model accuracy, performance, and robustness using appropriate metrics
• Document methodologies, assumptions, and findings for auditability and reuse
Required Skills:
Programming & Tools
• Python (must-have)
• SQL for data extraction and manipulation
• Experience with Jupyter Notebook / similar environments
Statistical & Analytical Skills
• Strong foundation in:
o Probability and statistics
o Hypothesis testing
o Regression analysis
o Time series analysis
• Experience with classical ML techniques:
o Linear/Logistic Regression
o Decision Trees, Random Forest
o K-Means / clustering methods
Data Handling
• Data wrangling and feature engineering
• Experience working with datasets (NoSQL, RDBMS, data warehouses)
• Familiarity with data quality and validation techniques
Visualization & Reporting
• Tools such as Tableau / Power BI / Matplotlib / Seaborn
• Ability to present insights in business-friendly language
Preferred Skills
• Exposure to ETL processes and basic data engineering concepts
• Knowledge of optimization or operations research techniques, Project Code :

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