ZipRecruiter

Log In

1

Statistical Programmer Jobs in Miami, FL (NOW HIRING)

Munich RE

Data Scientist, AI

Fort Lauderdale, FL · On-site

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Noven Pharmaceuticals

Quality Engineer

Miami, FL · On-site

$68K - $88K/yr

Master Statistical Analysis, Product evaluations, Risk Analysis, investigations, qualification ... quality engineering to develop procedures and processes that ensure sustaining activities and ...

atrion

Quality Engineer

Davie, FL

$66K - $85K/yr

Manages engineering projects. Supports the internal and external audit program ... Uses statistical tools to analyze data, make acceptance decisions, and improve process capability.

Futran Tech Solutions Pvt. Ltd.

Java FS Engineer

Sunrise, FL · On-site

$49.25 - $67.75/hr

Java Full Stack Engineer Location: Phoenix, AZ / Sunrise, FL * 5+ years in software development ... Applied statistics skills: distributions, statistical testing, regression analysis * Creativity ...

New

Lennar

Data Scientist II

Miami, FL · On-site

Bachelor's degree in data science, mathematics, statistics, engineering, computer science, or a related field, or equivalent practical experience. * 3+ years of experience applying data science to ...

Atto Trading

Portfolio Manager

Miami, FL · On-site

We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows ...

Atto Trading

Portfolio Manager

Miami, FL

We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows ...

next page

Showing results 1-20

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 Jul 14, 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 are statistical programmers?

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 is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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 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.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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 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
What are the most commonly searched types of Statistical Programmer jobs in Miami, FL? The most popular types of Statistical Programmer jobs in Miami, FL are:
What are popular job titles related to Statistical Programmer jobs in Miami, FL? For Statistical Programmer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Miami, FL look for? The top searched job categories for Statistical Programmer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Statistical Programmer jobs? Cities near Miami, FL with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Miami, FL as of July 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $140,650 per year, or $67.6 per hour.
Senior Analyst, Research & Data Scientist

Senior Analyst, Research & Data Scientist

Independent Living Systems

Miami, FL • On-site

$110K - $111K/yr

Full-time

Re-posted yesterday

Independent Living Systems rating

6.5

Company rating: 6.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

We are seeking a Senior Analyst, Research & Data Scientist to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.

About the Role:

The Senior Analyst, Research & Data Scientist plays a critical role in advancing healthcare outcomes by leveraging data-driven insights and rigorous research methodologies. This position is responsible for designing, conducting, and interpreting complex analyses that inform strategic decisions and policy development within the health care and social assistance sector. The role requires synthesizing large datasets from diverse sources to identify trends, evaluate program effectiveness, and support evidence-based interventions. Collaboration with cross-functional teams, including clinical experts, policy makers, and IT professionals, is essential to translate analytical findings into actionable recommendations. Ultimately, this position drives innovation and continuous improvement in healthcare delivery through sophisticated data science techniques and research excellence.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Computer Science, or a related field.
  • At least 5 years of professional experience in data analysis, research, or data science within the healthcare or social assistance industry.
  • Proficiency in statistical programming languages such as R, Python, or SAS.
  • Strong experience with data visualization tools like Tableau, Power BI, or equivalent.
  • Demonstrated ability to manage and analyze large healthcare datasets and apply advanced analytical techniques.
  • Strong experience with SQL and working with relational databases.
  • Demonstrated ability to develop and apply statistical and machine learning models.
  • Relevant experience may substitute for the educational requirement on a year-for-year basis.

Preferred Qualifications:

  • Master’s degree or higher in a relevant discipline such as Biostatistics, Health Informatics, or Data Science.
  • Experience with machine learning frameworks and big data technologies (e.g., TensorFlow, Spark).
  • Familiarity with healthcare regulations and standards including HIPAA and data governance best practices.
  • Prior experience working in interdisciplinary teams within healthcare settings.
  • Publication record or contributions to peer-reviewed research in healthcare analytics or related fields.

Responsibilities:

  • Develop and implement advanced statistical models and machine learning algorithms to analyze healthcare data and generate predictive insights.
  • Design and conduct quantitative and qualitative research studies to evaluate health programs, policies, and interventions.
  • Collaborate with stakeholders to define research questions, data requirements, and project objectives aligned with organizational goals.
  • Prepare comprehensive reports, visualizations, and presentations to communicate findings clearly to both technical and non-technical audiences.
  • Ensure data quality, integrity, and compliance with privacy regulations while managing large and complex datasets.
  • Stay current with emerging trends and best practices in data science, healthcare analytics, and research methodologies.
  • Mentor junior analysts and contribute to the development of data science capabilities within the team.

What Independent Living Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom