ZipRecruiter

Log In

1

Manager Statistical Programming Jobs in Reston, VA

TLA-LLC

Data Analyst

Mclean, VA · On-site

Data Collection & Management: Collect data from primary and secondary sources, and maintain ... Experience with statistical programming languages such as Python (using libraries like Pandas ...

Deloitte

AWS Sales Engineer

Washington, DC

... statistical programming tools to enterprise data in order to advance and enable the key mission ... Strong project management and organizational skills, with the ability to manage multiple priorities ...

Deloitte

AWS Sales Engineer

Rosslyn, VA

... statistical programming tools to enterprise data in order to advance and enable the key mission ... Strong project management and organizational skills, with the ability to manage multiple priorities ...

BlueLabs, Inc.

Data Scientist

Washington, DC · On-site +1

Data Scientists use a combination of statistics, programming, and domain knowledge to solve ... Collaborate with engineers, data scientists, program managers and external stakeholders to ...

BlueLabs, Inc.

Data Scientist

Washington, DC

Data Scientists use a combination of statistics, programming, and domain knowledge to solve ... Collaborate with engineers, data scientists, program managers and external stakeholders to ...

next page

Showing results 1-20

All JobsManager Statistical Programming JobsManager Statistical Programming Jobs in Reston, VA

Manager Statistical Programming information

See Reston, VA salary details

$87.9K

$153.2K

$259K

How much do manager statistical programming jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager statistical programming 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 is a Manager Statistical Programming job?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a Manager Statistical Programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the Manager Statistical Programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are popular job titles related to Manager Statistical Programming jobs in Reston, VA? For Manager Statistical Programming jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Reston, VA look for? The top searched job categories for Manager Statistical Programming jobs in Reston, VA are:
What cities near Reston, VA are hiring for Manager Statistical Programming jobs? Cities near Reston, VA with the most Manager Statistical Programming job openings:
Manager Statistical Programming jobs near you

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 8 days ago

Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
• Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
• Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
• Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
• Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
• Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
• Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
• Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
• Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
• Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

Apply