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Manager Statistical Programming Jobs in Raleigh, NC

... statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners. * (10%) Provide input for ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Principal Biostatistician - FSP

Durham, NC · On-site +1

$115K - $130K/yr

... and review Statistical Analysis Plans for data presentation, analyses, and provide programming ... Perform project management activities for identified projects including resource planning ...

... 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 ...

Such capability would include ability to write statistical reports and/or present oral arguments to such agencies. * Ability to serve as a Project Manager for GCA studies. Coordinate keeping tasks ...

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Manager Statistical Programming information

See Raleigh, NC salary details

$82.1K

$143.2K

$242K

How much do manager statistical programming jobs pay per year?

As of Jul 10, 2026, the average yearly pay for manager statistical programming in Raleigh, NC is $143,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $155,500.00 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 the most commonly searched types of Statistical Programming jobs in Raleigh, NC? The most popular types of Statistical Programming jobs in Raleigh, NC are:
What are popular job titles related to Manager Statistical Programming jobs in Raleigh, NC? For Manager Statistical Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Raleigh, NC look for? The top searched job categories for Manager Statistical Programming jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Manager Statistical Programming jobs? Cities near Raleigh, NC with the most Manager Statistical Programming job openings:
Model Risk Analyst

Full-time

Posted 28 days ago


State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Position Overview:
Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.
Essential Responsibilities:
  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
  • 3+ years of experience in modeling or analytics
  • Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Masters in quantitative discipline
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)

Job Environment & Physical Requirements:
  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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