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Clinical Ai Informatics Jobs in Connecticut (NOW HIRING)

$35/hr

Work cross functionally with different departments including Clinical Affairs, Health Economics ... Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data ...

$35/hr

Work cross functionally with different departments including Clinical Affairs, Health Economics ... Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data ...

$35/hr

Work cross functionally with different departments including Clinical Affairs, Health Economics ... Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data ...

$35/hr

Work cross functionally with different departments including Clinical Affairs, Health Economics ... Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data ...

$35/hr

Work cross functionally with different departments including Clinical Affairs, Health Economics ... Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data ...

Showing results 21-34

Clinical Ai Informatics information

What is clinical AI informatics?

Clinical AI Informatics is a specialized field that combines artificial intelligence (AI) and informatics to improve healthcare delivery, diagnostics, and patient outcomes. Professionals in this area develop, implement, and manage AI tools and data systems that help clinicians analyze complex medical data and make evidence-based decisions. Their work includes integrating AI algorithms into electronic health records, supporting predictive analytics, and ensuring data privacy and regulatory compliance. By leveraging advanced technologies, Clinical AI Informatics aims to make healthcare more efficient, accurate, and personalized.

What are the key skills and qualifications needed to thrive as a clinical AI informatics specialist?

To thrive as a Clinical AI Informatics Specialist, you need a strong background in healthcare, data analysis, and artificial intelligence, typically supported by degrees in health informatics, computer science, or related fields. Familiarity with clinical information systems, machine learning tools, programming languages like Python or R, and relevant certifications (e.g., Certified Professional in Healthcare Information and Management Systems) is highly valuable. Strong problem-solving abilities, communication skills, and a collaborative mindset help bridge the gap between technical teams and clinical stakeholders. These competencies ensure effective implementation of AI solutions that improve patient outcomes and streamline healthcare operations.

How does a clinical AI informatics professional typically collaborate with clinicians and IT teams to implement AI-driven solutions in healthcare settings?

Clinical AI Informatics professionals serve as a bridge between clinical staff and IT departments, facilitating the integration of AI tools into healthcare workflows. They work closely with clinicians to understand patient care needs and ensure that AI solutions align with clinical protocols. Simultaneously, they collaborate with IT teams to address data integration, system interoperability, and regulatory compliance. Effective communication and stakeholder management are critical, as these professionals must translate technical requirements into practical, patient-centered applications.

What is the difference between Clinical Ai Informatics vs Clinical Data Analyst?

AspectClinical Ai InformaticsClinical Data Analyst
Required CredentialsHealthcare background, data science or informatics certifications, programming skillsHealthcare or data analysis degrees, statistical knowledge, data management skills
Work EnvironmentHospitals, healthcare tech companies, research institutionsHospitals, clinics, healthcare organizations, research settings
Employer & Industry UsageHealthcare technology firms, hospitals, research institutionsHealthcare providers, clinics, health insurance companies
Common Search & Comparison IntentUnderstanding roles involving AI in clinical settingsAnalyzing clinical data for insights and reporting

Clinical Ai Informatics focuses on integrating artificial intelligence into healthcare workflows, requiring expertise in AI, programming, and healthcare systems. In contrast, Clinical Data Analysts primarily analyze clinical data to generate reports and insights, often with a focus on statistical analysis and data management. Both roles are vital in healthcare but differ in technical focus and responsibilities.

What are popular job titles related to Clinical Ai Informatics jobs in Connecticut?

For Clinical Ai Informatics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Clinical Ai Informatics jobs in Connecticut look for?

The top searched job categories for Clinical Ai Informatics jobs in Connecticut are:

What cities in Connecticut are hiring for Clinical Ai Informatics jobs?

Cities in Connecticut with the most Clinical Ai Informatics job openings:

Infographic showing various Clinical Ai Informatics job openings in Connecticut as of August 2026, with employment types broken down into 3% As Needed, 71% Full Time, 19% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

On-site, Remote

$35/hr

Temporary, Internship

Posted 5 days ago


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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