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Statistical Programmer Jobs in Reston, VA (NOW HIRING)

... statisticians and data management teams • Support regulatory submissions and audits Minimum ... programming experience in clinical research • Experience with CDISC standards Preferred ...

Bachelor's or Master's degree in Statistics or related field 5+ years of SAS programming experience in clinical research Experience with CDISC standards Preferred Qualifications: Experience ...

... statisticians and data management teams • Support regulatory submissions and audits Minimum ... programming experience in clinical research • Experience with CDISC standards Preferred ...

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with ten (10) years of applicable ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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Statistical Programmer information

See Reston, VA salary details

$87.9K

$153.2K

$259K

How much do statistical programmer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for statistical programmer in Reston, VA is $153,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $166,500.00 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 Reston, VA? The most popular types of Statistical Programmer jobs in Reston, VA are:
What are popular job titles related to Statistical Programmer jobs in Reston, VA? For Statistical Programmer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Reston, VA look for? The top searched job categories for Statistical Programmer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Statistical Programmer jobs? Cities near Reston, VA with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Reston, VA as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $153,236 per year, or $73.7 per hour.
Biostatistics Project Manager (Part Time)

Biostatistics Project Manager (Part Time)

N4 Solutions, LLC

Bethesda, MD • On-site

Part-time

Posted 4 days ago


Job description

N4 Solutions, LLC offers our public and private sector clients the collective intellectual knowledge, expertise, and experience of our company and associates to help our customers evaluate, collaborate, innovate, and create business, technology, and scientific solutions that enable them to accomplish their mission and achieve organizational objectives. With the growth of the company, we are seeking a highly motivated and hard-working data analysis professional to join our team. The successful candidate will work in a high-paced and rewarding work environment.
JOB DESCRIPTION/DUTIES:
The Biostatistics Project Manager will support the National Institutes of Health (NIH), National Heart, Lung, and Blood Institute (NHLBI), by providing statistical expertise and data management support for clinical research studies. The successful candidate will collaborate with multidisciplinary research teams to manage, analyze, and interpret clinical data while supporting scientific publications and research initiatives.
•Perform statistical analyses utilizing appropriate methodologies to support clinical and scientific research studies.
•Collaborate with investigators on study design, statistical planning, data management, and interpretation of research findings.
•Develop statistical applications, reports, dashboards, and recurring summary reports for Principal Investigators using clinical research data.
•Review, monitor, and perform quality assurance/quality control (QA/QC) of clinical research databases to ensure data integrity and accuracy.
•Develop, organize, integrate, clean, and maintain large clinical and research datasets from multiple data sources.
•Perform descriptive statistics, regression analyses, longitudinal analyses, survival analyses, and other advanced statistical modeling techniques.
•Prepare charts, graphs, tables, and data visualizations for scientific reports, presentations, publications, and manuscripts.
•Develop and maintain statistical programming code using R, SPSS, SAS, or similar statistical software.
•Conduct literature reviews to identify relevant clinical and scientific information supporting ongoing research activities.
•Participate in the preparation of scientific manuscripts, presentations, abstracts, and publications.
•Present project updates and analysis findings during regular meetings with laboratory and research staff.
•Maintain accurate documentation of data modifications, statistical analyses, and project records.
•Perform other duties as assigned.
EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT:
•Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, Decision Science, or a related quantitative field.
•Minimum one (1) year of experience managing research datasets and performing statistical analyses for scientific or clinical research projects.
•Experience collaborating with multidisciplinary research teams.
•Experience performing statistical analyses using R, SPSS, SAS, or comparable statistical software.
•Experience preparing scientific reports, manuscripts, or publications.
•Strong analytical, organizational, and problem-solving skills.
•Excellent written and verbal communication skills.
•Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.
PREFERRED EDUCATION/EXPERIENCE/EXPERTISE:
•Ph.D. or Ph.D. Candidate in Statistics, Biostatistics, Computer Science, Mathematics, or a related field.
•Experience supporting NIH, HHS, academic, or biomedical research organizations.
•Experience working with clinical databases and Laboratory Information Management Systems (LIMS).
•Experience conducting quality assurance/quality control (QA/QC) for clinical research data.
•Knowledge of longitudinal analysis, survival analysis, logistic regression, and advanced statistical modeling techniques.
•Experience supporting scientific presentations, publications, and clinical research reporting.
LOCATION:
•Bethesda, MD
•Part-Time (20 hours per week)
The N4 Solutions Equal Employment Opportunity (EEO) Policy is to provide a fair and equal employment opportunity for all employees and job applicants regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status or disability. N4 Solutions hires and promotes individuals solely on the basis of their qualifications and achievements for the job to be filled.