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Director Statistical Programming Jobs in Florida

UAB

BIOSTATISTICIAN LEAD

Tampa, FL · On-site

$73K - $120K/yr

... directing the biostatistical team, mentoring junior staff, leading grant and publication efforts ... Proficiency in statistical programming and data analysis software Experience with complex ...

Amgen

CMC Statistics Assoc Dir

Miami, FL · On-site

CMC Statistics Assoc Dir What you will do Let's do this. Let's change the world. In this vital role ... Proficient in SAS programming (data manipulation techniques, macro, statistical and graphical PROCs ...

U.S. Department of Defense (DOD)

$63K/yr

This is a Direct Hire Solicitation. This public notice is to gather applications that may or may ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

U.S. Department of Defense (DOD)

$63K/yr

This is a Direct Hire Solicitation. This public notice is to gather applications that may or may ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

US Department of the Air Force

$63K/yr

This is a Direct Hire Solicitation. This public notice is to gather applications that may or may ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

US Department of the Air Force

$63K/yr

This is a Direct Hire Solicitation. This public notice is to gather applications that may or may ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

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All JobsStatistical Programming JobsDirector Statistical Programming JobsDirector Statistical Programming Jobs in Florida

Director Statistical Programming information

See Florida salary details

$114.7K

$209.4K

$257.1K

How much do director statistical programming jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director statistical programming in Florida is $209,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $194,700.00 and $241,000.00 per year, depending on experience, location, and employer.

What is a director statistical programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

What does a director statistical programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.

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

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

How does a director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.
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Director Statistical Programming jobs near you
Infographic showing various Director Statistical Programming job openings in Florida as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $209,352 per year, or $100.7 per hour.

Data Engineer Consultant

Infinite Resource Solutions

Orlando, FL • On-site

Full-time

Re-posted 27 days ago

Job description

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions.

You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management.

-Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis.

-Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

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