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Statistical Programmer Jobs in Reston, VA (NOW HIRING)

Familiarity with international statistical methodologies and the role of development indicators in evidence-based policymaking is essential. Duties and accountabilities: The Analyst will play a ...

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 ...

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

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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 May 30, 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 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 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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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:
Statistical Science Director - Early Oncology

Statistical Science Director - Early Oncology

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 70 rated pharmaceutical


Job description

Are you ready to shape statistical strategy that advances transformative medicines for people living with cancer? Do you see yourself steering high-impact decisions from early discovery through regulatory approval and beyond, so patients benefit sooner?
Main duties and responsibilities
In this role you will be responsible in leading the strategic, statistical thinking and contributions to the Development Plans, Regulatory Strategy, Health Technology Assessment and Commercial Presentation for indications/projects within an AZ product team.
You will provide leadership to statistical staff on the indications/projects so that all work is carried out with regards to AZ standards and external regulations; through partnership with experts, developing design options and providing high quality decision support to enable the business to make informed decisions; quantifying the benefit, risk, value and uncertainty of the emerging product profile.
You will be holding CRO/Partners accountable for the high quality standards of their deliverables. You will represent AZ and Statistics to Health Authorities and Reimbursement/Payer Organisations for specific projects/indications.
You will apply expert skills to investigate, apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration. You will mentor/coach and support the education and training of Statistics staff in the technical arena.
Requirements
Essential
  • MSc or PhD degree in Statistics, Biostatistics, or related quantitative fields, or equivalent course work/ technical experience
  • Understanding of regulations/developments in the area of Clinical Development and Biostatistics
  • 5 years experience as a statistician with clinical trials, pharmaceutical development, regulated research, and/or related areas of statistical applications
  • A collaborative mindset
  • A general dedication to and ability to apply expertise to problem solving
  • Experience with relevant statistical software
  • Ability to apply statistical techniques in the analysis of data from clinical studies

Desirable Skills/Experience:
  • TA or disease area knowledge expertise
  • Exposure to business development opportunities (e.g.in licencing)
  • Project management skills
  • Proficiency in programming SAS and/or R and Python

When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.
The annual base pay (or hourly rate of compensation) for this position ranges from $ 188,279.20 - 282,418.80 USD . Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Why AstraZeneca
Here, your statistical leadership fuels a pipeline that pushes scientific frontiers and brings new options to people with the toughest cancers. You will collaborate across disciplines and with leading academic and clinical partners, applying advanced methods to complex development questions at global scale. We back bold ideas with the data, technology and investment needed to deliver, and we value kindness alongside ambition-so you can take smart risks, grow your craft and see your work turn into medicines that make a measurable difference.
Step into this role to build pivotal evidence and accelerate the next generation of cancer medicines-your impact starts here!
Date Posted
20-Apr-2026
Closing Date
05-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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