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Manager Statistical Programming Jobs in Colorado

Sr Process Engineer

Boulder, CO · On-site

$45 - $50/hr

Capital project management experience * Statistical analysis and process improvement skills * Manufacturing process engineering experience * Strong troubleshooting and problem-solving abilities

... Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g ... in programming languages such as Python, Java, or Scala - Familiarity with big data technologies ...

Showing results 21-40

Manager Statistical Programming information

See Colorado salary details

$88.9K

$154.9K

$261.8K

How much do manager statistical programming jobs pay per year?

As of Aug 12, 2026, the average yearly pay for manager statistical programming in Colorado is $154,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $168,200.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

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 Colorado? The most popular types of Statistical Programming jobs in Colorado are:
What are popular job titles related to Manager Statistical Programming jobs in Colorado? For Manager Statistical Programming jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Colorado look for? The top searched job categories for Manager Statistical Programming jobs in Colorado are:
What cities in Colorado are hiring for Manager Statistical Programming jobs? Cities in Colorado with the most Manager Statistical Programming job openings:
Infographic showing various Manager Statistical Programming job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $154,880 per year, or $74.5 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Description

Who we are:

At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.


What we do:

Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation's toughest challenges and our ability to exceed expectations.


Why ANS:

At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let's ensure today is safe and tomorrow is smarter.



As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.


Requirements:

  • Active TS/SCI clearance with Polygraph
  • A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Desired Qualifications:

  • Working knowledge of Big Data, dataflows, and ML/AI familiarity
  • Working knowledge of Jupyter notebooks
  • Working knowledge of Spark


Responsibilities include, but are not limited to:

  • Working knowledge of statistics, programing and predictive modeling
  • Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
  • Design and implement machine learning, data science and advanced analytical algorithms
  • Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

Requirements

Benefits:

ANS offers excellent compensation along with a generous benefits package to include:

  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Insurance
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
  • Supplemental Whole Life Insurance
  • Lucrative Referral Bonus Program
  • Annual Allowance for ANS Swag
  • Potential for Paid Overtime
  • Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.


*Disclaimer: Salary is an open band for Indeed purposes and may not accurately represent the salary band for this position*