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Statistical Programmer Jobs in Washington, DC (NOW HIRING)

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

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 ...

Venesco LLC

SAS Programmer

Falls Church, VA · On-site

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

VENESCO LLC

SAS Programmer

Falls Church, VA · On-site

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

Carnegie Mellon University

C Programmer

Arlington, VA · On-site

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

C Programmer

Arlington, VA · On-site

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 ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Washington, DC

Statistical Programmer information

See Washington, DC salary details

$95.3K

$166.2K

$281K

How much do statistical programmer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for statistical programmer in Washington, DC is $166,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $180,500.00 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.

More about Statistical Programmer jobs
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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
AL/ML Programmer

AL/ML Programmer

MIT Lincoln Laboratory

Fort George G Meade, MD

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

FortMeade,MD (OnSite Position)

Are you excited to contribute to worldclass research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50years of experience developing revolutionary technologies for critical national missions. 

Location: This position is based at our field site in FortMeade,MD. Candidates must be willing and able to commute to and work onsite and will regularly interface directly with government sponsors in secure facilities. 

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data-including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation's top cyber organizations. 

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory's efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cuttingedge technologies for Operations in the Information Environment (OIE). 

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into realworld, missioncritical systems. 

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods. 
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. 
  • Publish and present research at premier conferences. 

The AI Technology and Systems Group is seeking motivated applicants who can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include: 

  • Research on stateoftheart algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. 
  • Applying innovative methods to challenging, realworld problems. 
  • Working in a collaborative, teamoriented development environment. 

This is an opportunity to apply your skills to some of the most important technical challenges of our time-while learning from and contributing to a worldclass research community. 

Qualifications

Candidates must possess a Ph.D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or more years of relevant experience or a BS and 9 or more years of relevant expereince will be considered. 

  • Current TS/SCI clearance required (must be active at the time of application).  

Desired Skills

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Deep AI/ML experience - graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers.
  • System analysis & problem decomposition - can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems.
  • Operate within a rapid research-to-prototype pipeline - demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement.
  • Agentic-AI framework experience - hands-on work with MCP or comparable toolkits; able to design, implement, and evaluate end-to-end LLM-driven agents.
  • Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas/SciPy, etc.).
  • Software-engineering best practices - strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Team and Project leadership - experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff.
  • Stakeholder communication - strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.
  • Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision.


Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,20-0 - $220,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must possess a current in scope Top Secret level security clearance. 

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42940 

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