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R&D Engineer - Data Science

Smith+Nephew

Pittsburgh, USonsitePosted May 31, 2026

At a glance

Highlights

  • Flexible personal/vacation time off
  • Discounted stock options
  • Tuition reimbursement
  • Comprehensive medical, dental, vision benefits

Heads up

  • No visa sponsorship
  • Onsite work required

Why this role might suit you

The role offers a chance to apply machine‑learning expertise to healthcare challenges within an R&D setting, supported by strong benefits, tuition assistance, and a collaborative AI Center of Excellence in Pittsburgh.

Skills

pythonrmatlabscikit-learntensorflowpytorchnumpypandaskerasstatistics

About the role

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

Are you passionate about applying data science and artificial intelligence to solve meaningful, real world problems? Join our AI Center of Excellence and work at the forefront of innovation, collaborating with experts to develop next generation AI solutions that support orthopedics, wound care and sports medicine. This is an opportunity to make a tangible impact on patient outcomes while growing your career in a fast paced, collaborative environment based in Pittsburgh, PA.

What will you be doing?

Researching and evaluating state-of-the-art AI and machine learning models to identify potential applications across Smith+Nephew products

Preparing, cleaning and structuring large datasets for use in model development and training

Designing feature encodings to extract meaningful insights from complex data

Developing, coding and training machine learning models using modern data science tools

Validating and analyzing model performance using appropriate statistical techniques

Creating intuitive interfaces and tools that enable teams to explore and use AI models effectively

Collaborating closely within a multidisciplinary, fast paced R&D environment

What will you need to be successful?

Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Mathematics, Computer Engineering or a related field

Master’s or Doctoral degree preferred

1-3 years of experience applying machine learning in an academic or professional setting

Strong programming skills in Python, R, MATLAB or similar languages

Experience with machine learning and data science libraries such as Scikit learn, TensorFlow, PyTorch, NumPy, Pandas or Keras

Solid understanding of data analytics and statistical methods

Strong communication skills with the ability to clearly explain technical finding

This position does not offe r visa sponsorship now or in the future

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 on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website (https://www.smith-nephew.com/).

Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Options, Tuition Reimbursement

Work/Life Balance: Flexible Personal/Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day

Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program

Training: Hands-On, Team-Customized, Mentorship

Extra Perks: Discounts on fitness clubs, travel and more!

#LI-SB2

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 L inkedIn 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.

Questions about this role

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