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Manager Statistical Programming Jobs in Washington, DC

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field * Familiar with project management concepts and frameworks such as Agile ...

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Manager Statistical Programming information

See Washington, DC salary details

$95.3K

$166.2K

$281K

How much do manager statistical programming jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager statistical programming 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 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 Washington, DC? For Manager Statistical Programming jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Washington, DC look for? The top searched job categories for Manager Statistical Programming jobs in Washington, DC are:
Biostatistics Project Manager (Part Time)

Biostatistics Project Manager (Part Time)

N4 Solutions

Bethesda, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

N4 Solutions, LLC offers our public and private sector clients the collective intellectual knowledge, expertise, and experience of our company and associates to help our customers evaluate, collaborate, innovate, and create business, technology, and scientific solutions that enable them to accomplish their mission and achieve organizational objectives. With the growth of the company, we are seeking a highly motivated and hard-working data analysis professional to join our team. The successful candidate will work in a high-paced and rewarding work environment.

JOB DESCRIPTION/DUTIES:
The Biostatistics Project Manager will support the National Institutes of Health (NIH), National Heart, Lung, and Blood Institute (NHLBI), by providing statistical expertise and data management support for clinical research studies. The successful candidate will collaborate with multidisciplinary research teams to manage, analyze, and interpret clinical data while supporting scientific publications and research initiatives.

* Perform statistical analyses utilizing appropriate methodologies to support clinical and scientific research studies.

* Collaborate with investigators on study design, statistical planning, data management, and interpretation of research findings.

* Develop statistical applications, reports, dashboards, and recurring summary reports for Principal Investigators using clinical research data.

* Review, monitor, and perform quality assurance/quality control (QA/QC) of clinical research databases to ensure data integrity and accuracy.

* Develop, organize, integrate, clean, and maintain large clinical and research datasets from multiple data sources.

* Perform descriptive statistics, regression analyses, longitudinal analyses, survival analyses, and other advanced statistical modeling techniques.

* Prepare charts, graphs, tables, and data visualizations for scientific reports, presentations, publications, and manuscripts.

* Develop and maintain statistical programming code using R, SPSS, SAS, or similar statistical software.

* Conduct literature reviews to identify relevant clinical and scientific information supporting ongoing research activities.

* Participate in the preparation of scientific manuscripts, presentations, abstracts, and publications.

* Present project updates and analysis findings during regular meetings with laboratory and research staff.

* Maintain accurate documentation of data modifications, statistical analyses, and project records.

* Perform other duties as assigned.

EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT:

* Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, Decision Science, or a related quantitative field.

* Minimum one (1) year of experience managing research datasets and performing statistical analyses for scientific or clinical research projects.

* Experience collaborating with multidisciplinary research teams.

* Experience performing statistical analyses using R, SPSS, SAS, or comparable statistical software.

* Experience preparing scientific reports, manuscripts, or publications.

* Strong analytical, organizational, and problem-solving skills.

* Excellent written and verbal communication skills.

* Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.

PREFERRED EDUCATION/EXPERIENCE/EXPERTISE:

* Ph.D. or Ph.D. Candidate in Statistics, Biostatistics, Computer Science, Mathematics, or a related field.

* Experience supporting NIH, HHS, academic, or biomedical research organizations.

* Experience working with clinical databases and Laboratory Information Management Systems (LIMS).

* Experience conducting quality assurance/quality control (QA/QC) for clinical research data.

* Knowledge of longitudinal analysis, survival analysis, logistic regression, and advanced statistical modeling techniques.

* Experience supporting scientific presentations, publications, and clinical research reporting.

LOCATION:

* Bethesda, MD

* Part-Time (20 hours per week)

The N4 Solutions Equal Employment Opportunity (EEO) Policy is to provide a fair and equal employment opportunity for all employees and job applicants regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status or disability. N4 Solutions hires and promotes individuals solely on the basis of their qualifications and achievements for the job to be filled.