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Remote Statistical Programmer Jobs in Denver, CO

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and ... Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business ...

Eliassen Group

Data Engineer IV

Greenwood Village, CO · Remote

$65 - $75/hr

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV ... Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or related field, or ...

Trace3

Delivery Engineer | Splunk (W2PE)

Denver, CO · Remote

$84K - $113K/yr

The Delivery Engineer | Splunk, will provide technical expertise in providing guidance on levels of ... Not required, but a plus: statistical and analytical modeling. * This is a remote, contract ...

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All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Denver, CO

Remote Statistical Programmer information

See Denver, CO salary details

$87K

$151.6K

$256.3K

How much do remote statistical programmer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote statistical programmer in Denver, CO is $151,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $164,700.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.

What does a remote statistical programmer do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

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

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do remote statistical programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

More about Remote Statistical Programmer jobs

What are the most commonly searched types of Statistical Programmer jobs in Denver, CO?

The most popular types of Statistical Programmer jobs in Denver, CO are:

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For Remote Statistical Programmer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Remote Statistical Programmer jobs in Denver, CO look for?

The top searched job categories for Remote Statistical Programmer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Remote Statistical Programmer jobs?

Cities near Denver, CO with the most Remote Statistical Programmer job openings:

Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Denver, CO as of August 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 47% In-person, and 53% Remote job distribution, with an average salary of $151,604 per year, or $72.9 per hour.

Analytics Engineering Intern

Denver, CO • On-site, Remote

Five and Fly
See more jobs at Five and Flyexternal

$17.25 - $22.50/hr

Full-time

Re-posted 22 days ago

Job description

Analytics Engineering Intern
Department: Analytics Engineering Intern
Employment Type: Full Time
Location: Remote
Description
We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
Key Responsibilities
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.

Skills, Knowledge and Expertise
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.

Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.

Apply