Intern, AI for Global Clinical and Medical Affairs (Andover, MA)

Smith+Nephew•Andover, MA

3d•$31 - $39•Hybrid

About The Position

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living. Smith+Nephew, a pioneering leader in medical technology since 1856, is seeking a highly skilled AI intern. Reporting directly to the Manager of Clinical Data and AI, the successful candidate will be an inquisitive problem-solver who is enthusiastic about applying data science and AI methods to real-world clinical research challenges. This role focuses on developing AI/ML solutions and analytical prototypes. The ideal candidate will have a strong foundation in data science, and a proven track record in creating and deploying internal ML/automation solutions to enhance data analytics processes. What will you be doing? AI Development and Application: Collaborate with clinical data scientists, biostatisticians, and clinical operations experts to identify use cases for AI in clinical research Assist in developing AI/ML models for supporting clinical operations, and data analysis Preprocess, clean, and organize clinical datasets for AI applications Support the integration of AI tools into clinical research workflows Assist in assessing data quality issues and recommending improvements. Research state-of-the-art AI/ML techniques relevant to clinical research. Develop automation scripts or analytical utilities that streamline clinical data analysis workflows. Communication and Testing: Identify key performance indicators for AI models and evaluate performance in uses cases with a global span Document methodologies, workflows, and results to ensure reproducibility and transparency Present findings and recommendations to the team and stakeholders clearly and concisely Planned Start Date: May 2026 Program Length: 3 months Location: Andover, MA What will you need to be successful? Education: Currently pursuing a Master’s or PhD degree in Data Science. Experience: Exposure to clinical research, medical device development, or health care analytics preferred Competencies: Proficiency in Python (required), R is a plus Familiarity with common AI/ML frameworks, e.g., TensorFlow, PyTorch, Scikit-learn, and LLM’s Familiarity with version control systems, particularly Git Foundational knowledge of statistics is a plus Familiarity with business intelligence tools such as PowerBI, Spotfire, Tableau is a plus Experience in deploying automation or AI/ML models for production use A knack for innovation and a passion for leveraging technology to solve complex business problems You. Unlimited We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion and Belonging- Committed to Welcoming, Celebrating, and Thriving. Learn more about Employee Inclusion Groups on our website Other reasons why you will love it here! Training: Hands-On, Team-Customized, Mentorship The anticipated base compensation range for this position is $31- $39 USD hourly The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. It is not typical for an individual to be hired at the high end of the range for their role at Smith + Nephew. Compensation decisions are dependent upon the facts and circumstances of each position and candidate. #LI-HIBRID Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. Stay connected by joining our Talent Community. We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day. Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N. Explore our website and learn more about our mission, our team, and the opportunities we offer. Smith+Nephew is a global medical technology company. We design and manufacture technology that takes the limits off living. We support healthcare professionals to return their patients to health and mobility, helping them to perform at their fullest potential. From our first employee and founder, T.J. Smith, to our team today, it’s our people who make Smith+Nephew a unique place. Yes, we love to innovate and develop exciting technologies, and we offer competitive salaries and progressive benefits. But it’s our culture - of Care, Collaboration and Courage - that really sets us apart. Through a spirit of ownership and can-do attitude we work together to win. We’re a company of people who care about each other, about our customers and their patients, and about our communities. Together, we fulfill our shared purpose of Life Unlimited.

Requirements

Currently pursuing a Master’s or PhD degree in Data Science.
Proficiency in Python (required)
Familiarity with common AI/ML frameworks, e.g., TensorFlow, PyTorch, Scikit-learn, and LLM’s
Familiarity with version control systems, particularly Git
A knack for innovation and a passion for leveraging technology to solve complex business problems

Nice To Haves

Exposure to clinical research, medical device development, or health care analytics preferred
R is a plus
Foundational knowledge of statistics is a plus
Familiarity with business intelligence tools such as PowerBI, Spotfire, Tableau is a plus
Experience in deploying automation or AI/ML models for production use

Responsibilities

Collaborate with clinical data scientists, biostatisticians, and clinical operations experts to identify use cases for AI in clinical research
Assist in developing AI/ML models for supporting clinical operations, and data analysis
Preprocess, clean, and organize clinical datasets for AI applications
Support the integration of AI tools into clinical research workflows
Assist in assessing data quality issues and recommending improvements.
Research state-of-the-art AI/ML techniques relevant to clinical research.
Develop automation scripts or analytical utilities that streamline clinical data analysis workflows.
Identify key performance indicators for AI models and evaluate performance in uses cases with a global span
Document methodologies, workflows, and results to ensure reproducibility and transparency
Present findings and recommendations to the team and stakeholders clearly and concisely