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Statistical Programmer Jobs in Cary, NC (NOW HIRING)

Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Principal Biostatistician - FSP

Durham, NC · On-site +1

$115K - $130K/yr

In this role you will develop and review Statistical Analysis Plans for data presentation, analyses, and provide programming support to your multidisciplinary global project team. About the team You ...

Special expertise in more complex statistical analytical methods not well known to all biostatisticians. * Established expertise in a medical therapeutic area. * Established a long-term high-level ...

Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies Qualifications * Master's Degree in Biostatistics, Epidemiology, Data ...

Showing results 21-40

Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

How much do statistical programmer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for statistical programmer in Cary, NC is $136,453.00, 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 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.

What are the most commonly searched types of Statistical Programmer jobs in Cary, NC? The most popular types of Statistical Programmer jobs in Cary, NC are:
What are popular job titles related to Statistical Programmer jobs in Cary, NC? For Statistical Programmer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Cary, NC look for? The top searched job categories for Statistical Programmer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Statistical Programmer jobs? Cities near Cary, NC with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Cary, NC as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $136,453 per year, or $65.6 per hour.

Principal Statistician (Pharmacokinetics)

PSI CRO

Durham, NC • On-site, Remote

Full-time

Re-posted 24 days ago


Job description

Company Description
We are the company that cares - for our staff, for our clients, for our partners and for the quality of work we do. A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
Job Description
You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of biostatistics project lead.
In this role, you will:
  • Act as a communication line for project teams, clients, vendors and internal team on statistical questions
  • Conduct statistical analysis for clinical trials including, interim analysis, final analysis, analysis for DSMBs/DMCs and PK analysis
  • Develop and review study protocols, statistical analysis plans, analysis dataset specifications according to CDISC ADaM standard and other project-specific documents
  • Review statistical deliverables such as tables, figures, listings and analysis datasets
  • Conduct departmental induction course and project-specific training for statisticians and SAS programmers
  • Prepare for and attend internal and external study audits pertinent to Statistics
  • Participate in preparation of internal/external audits follow up
  • Provide input to standard operating procedures and other Quality Systems Documents (QSDs) pertinent to activities of Biostatistics
  • Liaise with DM on statistical questions related to data issues
  • Participate in bid defense and in kick-off meetings
  • Lead teams of SAS programmers and/or statisticians on the project level

Qualifications
  • MSc in Statistics or equivalent
  • Full working proficiency in English
  • Expert knowledge and understanding of the statistical principles, concepts, methods, and standards used in clinical research
  • Expert knowledge and understanding of the SAS programming
  • Expert knowledge and understanding of CDISC ADaM standard
  • Expert knowledge and understanding of pharmacokinetics principles, concepts, methods and standards used in clinical research, including the conduct NCL and population PK analysis
  • Expert knowledge and understanding of Phoenix WinNonlin and NLME
  • Expert knowledge and understanding of relevant regulations and guidelines (e.g. FDA, EMA, ICH)
  • Ability to apply a range of advanced statistical techniques in support of clinical research studies and to analyze, interpret, and draw conclusions from complex statistical information
  • Ability to consult with clinical investigators, interpret research requirements, and determine statistical analysis strategies
  • Strong presentation and communication skills

Additional Information
Our mission is to be the best CRO in the world as measured by our employees, clients, sites, and vendors. Our recruitment process is easy and straightforward, and we'll be there with you every step of the way.