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Help Nlp Engineer Jobs in Arizona (NOW HIRING)

$35/hr

... NLP techniques to unstructured billing/clinical data * Prepare literature review summaries and ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

... NLP techniques to unstructured billing/clinical data * Prepare literature review summaries and ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

... NLP techniques to unstructured billing/clinical data * Prepare literature review summaries and ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

... NLP techniques to unstructured billing/clinical data * Prepare literature review summaries and ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

$35/hr

... NLP techniques to unstructured billing/clinical data * Prepare literature review summaries and ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $200/hr

You will help clients move from experimentation to measurable business and clinical impact while ... NLP, classification, regression, clustering, feature engineering, experiment design, and model ...

... and AI engineers, they serve as trusted advisors to executives, helping them understand and ... NLP, GenAI/LLMs, & AI program governance * 6+ years of previous experience in managing technical ...

... help clients streamline processes, improve productivity, and drive business performance. As an ... NLP or unstructured clinical text - Exposure to social determinants of health data integration ...

Showing results 21-37

Help Nlp Engineer information

What is the difference between Help Nlp Engineer vs Nlp Engineer?

AspectHelp Nlp EngineerNlp Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may accept certificationsBachelor's or Master's in CS, AI, or related; strong programming and ML skills
Work EnvironmentCollaborative teams, research labs, or tech companies focusing on NLP projectsDevelopment teams, research groups, or product-focused environments in AI companies
Employer & Industry UsageUsed in tech firms, startups, and research institutions working on NLP solutionsCommonly employed in similar settings, often with more advanced responsibilities

The main difference is that Help Nlp Engineers often focus on supporting NLP projects with basic tasks, while Nlp Engineers handle more complex development and implementation. Both roles require similar educational backgrounds and work in comparable environments, but Nlp Engineers typically have more experience and responsibility.

What cities in Arizona are hiring for Help Nlp Engineer jobs?

Cities in Arizona with the most Help Nlp Engineer job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Flagstaff, AZ • On-site

Stryker
Medical Equipment and Supplies Manufacturing • 10K+ employees

$35/hr

Other

Posted 6 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

137th 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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