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Statistical Programmer Jobs in Washington, DC (NOW HIRING)

Jobtailor

Senior Software Engineer

Alexandria, VA · On-site

$180 - $240/hr

Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex ... Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution ...

New

Cmu

C Programmer

Arlington, VA

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 ...

Cmu

Senior C Programmer

Arlington, VA

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 ...

Ra

Marketing Analytics Manager

Arlington, VA

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

Ra

Marketing Analytics Manager

Washington, DC

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

Red Drum

Test Engineers

Annapolis Junction, MD · On-site

... Science, Engineering, Statistics, Engineering Management, or related discipline • Current TS clearance plus Polygraph • 0 - 20 + years of experience Company : Red Drum provides software ...

Ra

Marketing Analytics Senior Manager

Washington, DC · On-site

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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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Washington, DC

Statistical Programmer information

See Washington, DC salary details

$95.7K

$166.8K

$282K

How much do statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical programmer in Washington, DC is $166,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $181,200.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

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 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.

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 Washington, DC? The most popular types of Statistical Programmer jobs in Washington, DC are:
What are popular job titles related to Statistical Programmer jobs in Washington, DC? For Statistical Programmer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Washington, DC look for? The top searched job categories for Statistical Programmer jobs in Washington, DC are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Washington, DC as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $166,822 per year, or $80.2 per hour.

Senior Software Engineer

Jobtailor

Alexandria, VA • On-site

$180 - $240/hr

Other

Posted 3 days ago

New

Job description

  • Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Contribute to the integration of software development, AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment.
Requirements
  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.).
  • 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions and demonstrating progressive technical development and outcomes. (4+ years with a Master’s).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms.
  • Experience with Backend microservices, Distributed systems, API development, Event‑driven architectures, Kubernetes‑native application development, Cloud‑native engineering.
  • Familiarity with Rust, Go, Python, TypeScript, Django.
Core Competencies

Demonstrates expertise in developing distributed backend services, APIs, and microservices for enterprise AI operations, with a strong foundation in statistical analysis and predictive analytics. Proven ability to collaborate with multidisciplinary teams to deliver innovative analytical platforms in a fast‑paced environment.

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