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Statistical Programmer Jobs in Miami, FL (NOW HIRING)

AerSale Holdings

Industrial Engineer

Miami, FL · On-site

$67K - $90K/yr

... engineered solutions) designed to enhance aircraft performance and operating economics (e.g ... Collect and analyze operational data using statistical methods to drive data-backed decision-making.

atrion

Quality Engineering Manager

Davie, FL · On-site

Utilize root cause analysis and statistical techniques for complex problem solving of technical ... Technical Engineering or Science degree at the Bachelor level or above. * 8+ years of quality ...

Pwc

CTIO - AI Engineer- Senior Manager

Miami, FL · On-site

$91K - $321K/yr

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and ...

MMS

Senior Biostatistician - Remote (US)

Miami, FL · On-site

Strong programming and logic skills (working knowledge of SAS) * Ability to apply drug development knowledge during production of high quality statistical analyses. * Perform sample size calculations ...

Pwc

GenAI Python Systems Engineer-Manager

Miami, FL · On-site

$99K - $232K/yr

... Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Miami, FL

Statistical Programmer information

See Miami, FL salary details

$80.7K

$140.7K

$237.8K

How much do statistical programmer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for statistical programmer in Miami, FL is $140,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $152,800.00 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.

More about Statistical Programmer jobs

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Miami, FL as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 65% In-person, 6% Hybrid, and 29% Remote job distribution, with an average salary of $140,650 per year, or $67.6 per hour.

Senior Project Engineer

AVEVA DRUG DELIVERY SYSTEMS INC

Miramar, FL • On-site

Full-time

Re-posted yesterday

Job description

About Us:
Aveva Drug Delivery Systems is a pharmaceutical manufacturer at the forefront of innovative drug delivery technologies. We are dedicated to advancing solutions that optimize the efficacy, safety, and precision of pharmaceutical treatments. Join our team and help shape the future of healthcare by contributing to the development of groundbreaking drug delivery systems that improve patient outcomes worldwide.

Job Summary:

The Senior Project Engineer leads complex engineering and capital projects supporting blending, coating, and packaging operations. This role manages the full lifecycle of projects from concept through design, execution, commissioning, and validation. The position provides advanced process engineering expertise, oversees project controls including budget and forecasting, and ensures compliance with safety, regulatory, and GMP requirements. The Senior Project Engineer also mentors junior engineers and collaborates cross-functionally with Operations, R&D, Quality, and Maintenance to support manufacturing performance and continuous improvement.

Job Responsibilities:

· Lead capital projects involving installation, upgrade, and optimization of equipment.

· Manage full project lifecycle including scope development, engineering design, procurement, installation, commissioning, and validation.

· Perform advanced process engineering analysis to select appropriate equipment technologies and improve manufacturing processes.

· Prepare capital project requests including cost estimates, schedules, technical justification, and ROI analysis.

· Manage project controls including forecasting, budget tracking, and schedule management.

· Ensure projects meet design specifications, safety standards, regulatory requirements, and project timelines.

· Evaluate and implement process control systems, monitoring technologies, and data acquisition systems.

· Lead development and execution of validation master plans and IQ/OQ/PQ protocols for equipment, facilities, and processes.

· Develop and maintain engineering documentation including URS, commissioning protocols, SOPs, work instructions, PM programs, and training materials.

· Assess equipment and facility modifications for regulatory impact and revalidation requirements.

· Support R&D scale-up activities and manufacturing process improvements.

· Coordinate with production, quality, validation, and maintenance teams to support project implementation.

· Provide technical leadership and mentorship to junior engineers.

· Ensure compliance with GMP, safety, and regulatory standards.

· Perform other duties as assigned.

Education:

  •  B.S. degree in Engineering (Chemical, Mechanical, Industrial, or related field)

Knowledge, Skills and Abilities:

  • Strong knowledge of Current Good Manufacturing Practices (cGMPs), FDA regulations, and pharmaceutical or regulated manufacturing environments.
  • Advanced knowledge of capital project management, process engineering, and manufacturing systems.
  • Experience with process control systems, automation, and data acquisition technologies.
  • Strong technical writing skills for engineering documentation and regulatory submissions.
  • Ability to read, analyze, and interpret scientific and technical journals, financial reports, and regulatory documentation.
  • Ability to present complex technical information to senior leadership and cross-functional teams.
  • Advanced analytical and statistical problem-solving capabilities including:
  • Design of Experiments (DOE)
  • Reliability Centered Maintenance (RCM)
  • Statistical analysis and variance analysis
  • Sampling theory and correlation analysis
  • Strong leadership, project management, and organizational skills.
  • Ability to manage multiple projects simultaneously in a fast-paced manufacturing environment.

· Experience:

  • Minimum 10–15 years of engineering experience in manufacturing, pharmaceutical, chemical, or related regulated industries..

Apply