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Internship Conservation Data Science Jobs in Arizona

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

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Internship Conservation Data Science information

What is an internship in conservation data science?

An Internship in Conservation Data Science is a temporary position that provides students or recent graduates with practical experience in using data analysis and scientific methods to support conservation efforts. Interns typically assist with collecting, processing, and analyzing ecological or environmental data to help solve real-world conservation challenges. This role often involves using statistical software, geographic information systems (GIS), and programming languages like R or Python. The experience helps interns develop valuable skills for careers in conservation, environmental science, or data analytics.

What types of projects do conservation data science interns typically work on?

Conservation Data Science interns often engage in projects such as analyzing wildlife population data, developing data visualization dashboards, or building predictive models to inform conservation strategies. These projects are usually team-based and directly support larger research or conservation initiatives by providing actionable insights from complex datasets. Interns frequently collaborate with ecologists, GIS specialists, and other data scientists, gaining hands-on experience with real-world conservation challenges. This work not only helps interns develop technical and analytical skills but also contributes to evidence-based decision-making in conservation organizations.

What are the key skills and qualifications needed to thrive as an internship in conservation data science?

To thrive as an Internship Conservation Data Science, you need a solid grounding in data analysis, ecological principles, and statistics, typically supported by coursework or experience in environmental science or related fields. Familiarity with data analysis tools such as R or Python, GIS software, and data management systems is commonly required. Attention to detail, problem-solving abilities, and effective communication help interns collaborate with diverse teams and convey scientific findings. These skills enable interns to support evidence-based conservation decisions and contribute valuable insights to ecological projects.

What is the difference between Internship Conservation Data Science vs Conservation Data Analyst?

AspectInternship Conservation Data ScienceConservation Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in environmental science, data science, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in conservation organizations or research projectsFull-time role in NGOs, government agencies, or research institutions
ResponsibilitiesAssisting with data collection, basic analysis, and learning conservation data toolsAnalyzing conservation datasets, generating reports, supporting decision-making

Internship Conservation Data Science roles are entry-level, focused on learning and supporting data tasks, while Conservation Data Analysts are more experienced, responsible for in-depth analysis and reporting. Both roles are vital in conservation efforts but differ mainly in experience level and scope of responsibilities.

What are the most commonly searched types of Conservation Data Science jobs in Arizona?

The most popular types of Conservation Data Science jobs in Arizona are:

What are popular job titles related to Internship Conservation Data Science jobs in Arizona?

For Internship Conservation Data Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship Conservation Data Science jobs in Arizona look for?

The top searched job categories for Internship Conservation Data Science jobs in Arizona are:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Glendale, AZ • On-site, Remote

$35/hr

Temporary, Internship

Posted 5 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

136th 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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