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Statistics Programmer Jobs in Raleigh, NC (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

... 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 ...

PK parameter pooling Experience * 8+ years of statistical programming experience in the pharmaceutical or CRO environment. * Demonstrated experience as a Lead Programmer or technical lead. * Prior ...

Doctoral degree in statistics, mathematics, or a closely related scientific discipline. * 3+ years ... Strong statistical programming skills (R preferred; equivalent tools considered). * Sound knowledge ...

Doctoral degree in statistics, mathematics, or a closely related scientific discipline. * 3+ years ... Strong statistical programming skills (R preferred; equivalent tools considered). * Sound knowledge ...

Candidates must demonstrate advanced proficiency in SAS data step programming, SAS macros, PROC SQL, and the generation and interpretation of descriptive statistics. Required skills include the ...

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Statistics Programmer information

See Raleigh, NC salary details

$60.3K

$97.9K

$148.2K

How much do statistics programmer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for statistics programmer in Raleigh, NC is $97,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $123,000.00 per year, depending on experience, location, and employer.

What are Statistics Programmers?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do Statistics Programmers typically collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a Statistics Programmer, and why are they important?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Raleigh, NC? For Statistics Programmer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Statistics Programmer jobs in Raleigh, NC look for? The top searched job categories for Statistics Programmer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Statistics Programmer jobs? Cities near Raleigh, NC with the most Statistics Programmer job openings:

Full-time

Posted 12 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 department
  • 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
  • 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 adaptive designs
  • Expert knowledge and understanding of sample size calculation
  • Expert knowledge and understanding of relevant regulations and guidelines (e.g. FDA, EMA, ICH)
  • Ability to apply 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.Â