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Statistical Programmer Intern Jobs in Colorado (NOW HIRING)

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Statistical Programmer Intern information

What does a Statistical Programmer Intern do?

A Statistical Programmer Intern supports data analysis and reporting for clinical trials or research projects by writing and validating statistical programs, often using software like SAS, R, or Python. They collaborate with statisticians and data managers to ensure the accuracy and integrity of datasets and outputs. Interns may also assist in creating tables, listings, and figures for regulatory submissions or publications, providing valuable hands-on experience in the field of biostatistics or data science.

What are the key skills and qualifications needed to thrive as a Statistical Programmer Intern, and why are they important?

To thrive as a Statistical Programmer Intern, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and basic data analysis, often supported by progress toward a degree in statistics, mathematics, computer science, or a related field. Familiarity with statistical software, data visualization tools, and version control systems like Git is often expected. Attention to detail, problem-solving abilities, and strong communication skills help interns effectively manage data tasks and collaborate with team members. These competencies are vital for ensuring accurate data processing, clear reporting, and successful contribution to research or clinical projects.

What types of projects do Statistical Programmer Interns typically work on, and how do these contribute to larger team objectives?

Statistical Programmer Interns often assist in tasks such as cleaning and analyzing clinical or research data, creating data visualizations, and writing code for statistical analyses under the supervision of experienced programmers. These projects contribute to larger team objectives by supporting data-driven decision-making, ensuring data integrity, and helping to prepare reports for regulatory submissions or publication. Interns usually collaborate closely with biostatisticians, data managers, and other programmers, gaining exposure to real-world challenges and learning how their work fits into broader organizational goals.
What are the most commonly searched types of Statistical Programmer jobs in Colorado? The most popular types of Statistical Programmer jobs in Colorado are:
What cities in Colorado are hiring for Statistical Programmer Intern jobs? Cities in Colorado with the most Statistical Programmer Intern job openings:

$17.25 - $22.50/hr

Full-time

Posted 9 days ago


Job 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.
  • 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.
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.