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Remote Intern Data Research Jobs in Colorado (NOW HIRING)

$35/hr

... Data Science intern at Stryker, you will: * Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and ...

New

$35/hr

... Data Science intern at Stryker, you will: * Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and ...

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 ... Support the development of automated data workflows and reporting processes. * Assist in building ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

Showing results 41-60

Remote Intern Data Research information

What is a remote intern data research?

A Remote Intern Data Research position involves working from a remote location to assist companies or organizations in collecting, analyzing, and interpreting data. Interns in this role typically support research projects by gathering information from various sources, cleaning and organizing datasets, and presenting findings in reports or presentations. This position helps interns gain valuable experience in data analysis tools and research methodologies, all while collaborating with teams virtually. It is ideal for students or recent graduates interested in data science, analytics, or research careers.

What are the key skills and qualifications needed to thrive as a remote intern data research?

To thrive as a Remote Intern Data Researcher, you need strong analytical abilities, attention to detail, and foundational knowledge in data collection and analysis, often supported by coursework in statistics or related fields. Familiarity with tools such as Microsoft Excel, Google Sheets, and data visualization platforms like Tableau, as well as basic programming knowledge in Python or R, is typically required. Effective communication, self-motivation, and time management are important soft skills for collaborating remotely and meeting deadlines. These skills ensure accurate data handling, meaningful insights, and efficient remote teamwork in a research-focused environment.

What are some common challenges faced by remote interns in data research, and how can they be addressed?

Remote Interns in Data Research often face challenges such as limited face-to-face interaction with mentors, coordinating across different time zones, and maintaining clear communication about project goals. To overcome these, it's important to proactively schedule regular virtual check-ins, use collaborative tools (like Slack, Trello, or Google Workspace), and clarify expectations early on. Building a habit of documenting progress and asking for feedback can also help ensure alignment with the team and foster a supportive remote work environment.

What is the difference between Remote Intern Data Research vs Remote Data Analyst Intern?

AspectRemote Intern Data ResearchRemote Data Analyst Intern
CredentialsBasic knowledge of data collection, research methods, and toolsBasic understanding of data analysis, Excel, and statistical concepts
Work EnvironmentPrimarily remote, often part-time or internship-basedPrimarily remote, often part-time or internship-based
Employer & IndustryResearch firms, market research companies, or data-driven organizationsTech companies, finance, marketing agencies, or consulting firms
Search & Comparison IntentUnderstanding research-focused internship rolesUnderstanding data analysis internship roles

Remote Intern Data Research and Remote Data Analyst Intern roles often share similar remote work environments and internship structures. However, Data Research focuses on gathering and analyzing data through research methods, while Data Analyst roles emphasize analyzing existing data sets using statistical tools. Both roles serve different functions within data-driven organizations but may overlap in skills and industry usage.

What are popular job titles related to Remote Intern Data Research jobs in Colorado?

For Remote Intern Data Research jobs in Colorado, the most frequently searched job titles are:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Thornton, CO • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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