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Statistical Engineering Jobs in Alexandria, VA (NOW HIRING)

Tunnell Government Services

SAS Programmer

Bethesda, MD · On-site

Prepare, update, and maintain all versions of statistical analysis plans * Prepare, update, and maintain all versions of Statistical Programming Validation Plans, and all versions of statistical ...

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ENERGY AND WATER STATISTICIAN

Arlington, VA · On-site

$90 - $110/hr

Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools. * Experience translating complex quantitative results into actionable recommendations for ...

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AI Engineer

Alexandria, VA · On-site

$180 - $240/hr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.) * 12 ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Alexandria, VA

Statistical Engineering information

See Alexandria, VA salary details

$65.3K

$76.6K

$85.5K

How much do statistical engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for statistical engineering in Alexandria, VA is $76,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $81,800.00 per year, depending on experience, location, and employer.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in Alexandria, VA?

For Statistical Engineering jobs in Alexandria, VA, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Alexandria, VA look for?

The top searched job categories for Statistical Engineering jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Statistical Engineering jobs?

Cities near Alexandria, VA with the most Statistical Engineering job openings:

Statistical Engineering jobs near you

Senior Statistical Programmer

Rockville, MD • On-site

The Emmes Company, LLC
Scientific Research and Development Services • 201 - 500 employees
Learn more about The Emmes Company, LLCexternal

Other

Posted 9 days ago

Job description

Overview

Senior Statistical Programmer
Be Part of One Team, One Purpose.
At Emmes Group, we're shaping the future of clinical research-where human intelligence meets cutting-edge technology to drive meaningful advancements in healthcare. With over 47 years of scientific excellence, we've led groundbreaking research in cell and gene therapy, vaccines, infectious diseases, ophthalmology, rare diseases, and neuroscience.
Through our two business units-Emmes, a full-service CRO, and Veridix AI, our technology, data, and analytical solutions -we are modernizing clinical trials and accelerating the development of life-changing therapies.
We believe that every clinical breakthrough starts with people-people who are passionate, purpose-driven, and ready to make an impact. At Emmes Group, we bring People, Science, and Technology together to collaborate with our customers and deliver global health impact. Our culture is built on integrity, collaboration, and innovation, ensuring that every challenge is met with perseverance and accountability.
The Senior Statistical Programmer is responsible for programming, validating, and delivering statistical datasets and outputs to support clinical trial analysis and regulatory submissions. Working closely with Biostatistics, Data Management, and Clinical teams, this role contributes to the delivery of high-quality, CDISC-compliant datasets and analysis results for Phase I-IV clinical trials. This position requires strong proficiency in SAS programming, a solid understanding of CDISC standards (SDTM and ADaM), and experience working in a regulated environment.


Responsibilities
  • Programming & Validation
  • Develop, test, and validate SDTM and ADaM datasets according to CDISC standards.
  • Program Tables, Listings, and Figures (TLFs) in support of clinical study reports (CSRs) and regulatory submissions.
  • Translate statistical analysis plans (SAPs) into accurate and efficient code.
  • Project Support
  • Serve as the lead programmer on individual studies or studies within a program.
  • Collaborate with cross functional teams including Biostatisticians, Clinical Data Managers, and Regulatory personnel.
  • Ensure timely and accurate delivery of programming deliverables to support clinical timelines.
  • Quality & Compliance
  • Conduct independent quality checks on programming outputs.
  • Maintain programming documentation according to internal SOPs and regulatory guidelines.
  • Ensure compliance with GCP, ICH, and 21 CFR Part 11 standards.
  • Process Improvement
  • Contribute to the development and refinement of internal programming standards, macros, and reusable code libraries.
  • Identify opportunities to optimize workflows and improve efficiency within the programming team.
  • Performs other duties as assigned
  • Complies with all policies and standards

Qualifications
  • Bachelor's Degree Computer Science, Statistics, Mathematics, Life Sciences, or a related field. Required or
  • Master's Degree Computer Science, Statistics, Mathematics, Life Sciences, or a related field. Preferred
  • 4-6 years as a statistical programmer in a pharmaceutical, biotech, or CRO environment. Required
  • Strong programming skills in SAS as Base, Macro, SQL; familiarity with R or Python is a plus. High
  • In depth knowledge of CDISC SDTM and ADaM standards. High
  • Experience supporting clinical trial reporting and preparing data for regulatory submissions as FDA, EMA. High
  • Excellent attention to detail, problem solving, and communication skills. High
  • Ability to work independently and collaboratively in a fast paced environment. High

If you're looking for a career where your work advances global health and where scientific excellence meets real-world impact, join us and be part of something bigger. One Team, One Purpose.
CONNECT WITH US!
Find us on LinkedIn:/the-emmes-group/
Visit our website:https://www.theemmesgroup.com/

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About Emmes

Sourced by ZipRecruiter

Industry

Scientific research and development services

Company size

201 - 500 Employees

Headquarters location

Rockville, MD, US

Year founded

1977

Social media

Twitter

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