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Internship Ai Strategy Jobs in Springfield, OR (NOW HIRING)

We're an AI-forward company. If you're excited about building real products for real communities at ... strategy. Responsibilities 1. Core Product Ownership Get deep into the most critical parts of our ...

We're an AI-forward company. If you're excited about building real products for real communities at ... strategy. Responsibilities 1. Core Product Ownership Get deep into the most critical parts of our ...

The internship is structured to provide a blend of research, analysis, and practical application ... Experience utilizing AI to automate work tasks including to support research analysis and writing ...

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You will perform competitive analysis, assist with go-to-market launch strategies, and track ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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You will perform competitive analysis, assist with go-to-market launch strategies, and track ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Internship Ai Strategy information

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How much do internship ai strategy jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship ai strategy in Springfield, OR is $23.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $29.86 per hour, depending on experience, location, and employer.

What is an internship in AI strategy?

An Internship in AI Strategy is an entry-level position where students or recent graduates work with organizations to help develop and implement strategies involving artificial intelligence. Interns typically assist with research, data analysis, market assessments, and the formulation of AI-driven business solutions. This role is ideal for those interested in how AI technologies can be leveraged to achieve business objectives. Interns gain valuable experience by working alongside AI experts and strategic planners, contributing to projects that shape the future direction of organizations.

What do I do during an AI strategy internship?

As an AI Strategy intern, you can expect to work closely with cross-functional teams to analyze business problems and identify areas where AI technologies can add value. Typical responsibilities may include conducting market research, supporting the development of AI roadmaps, preparing presentations for stakeholders, and assisting in the evaluation of data-driven solutions. You'll also likely participate in brainstorming sessions, collaborate with data scientists and engineers, and help assess the feasibility and impact of proposed AI initiatives. This hands-on exposure provides a strong foundation for understanding both the technical and business sides of AI strategy.

What skills and qualifications are needed for an AI strategy internship?

To thrive as an AI Strategy Intern, you generally need a background in computer science, data analysis, and business strategy, often supported by progress toward a relevant degree. Familiarity with data analytics tools (such as Python, SQL), machine learning frameworks, and project management software is typically expected. Excellent analytical thinking, problem-solving, and communication skills help you synthesize technical insights and convey strategic recommendations to diverse stakeholders. These abilities are crucial for bridging technical AI concepts with business objectives and driving impactful innovation within organizations.

What is the difference between Internship Ai Strategy vs Data Analyst Intern?

AspectInternship Ai StrategyData Analyst Intern
Required SkillsBasic understanding of AI, data analysis, programming (Python, SQL)Data collection, cleaning, analysis, visualization skills
Work EnvironmentCollaborative teams focusing on AI projects, product developmentData-focused tasks within business units, reporting
Industry UsageTech companies, AI startups, R&D departmentsFinance, marketing, healthcare, retail sectors

Internship Ai Strategy roles typically involve supporting AI project development, understanding AI concepts, and working with cross-functional teams. Data Analyst Interns focus on analyzing data sets, generating reports, and providing insights. While both roles require analytical skills, Internship Ai Strategy emphasizes AI knowledge and strategic thinking, whereas Data Analyst Intern roles center on data manipulation and visualization.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Eugene, OR • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 495 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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