Senior Specialist - Clinical Data and AI (Alajuela, Costa Rica)

Requirements

• Knowledge:
• Familiarity with common AI/ML frameworks, e.g., TensorFlow, PyTorch, Scikit-learn, and LLM's
• Familiarity with version control systems, particularly Git
• Familiarity with common cloud data science / data lake platforms such as Databricks
• Foundational knowledge of clinical data is a plus
• Familiarity with business intelligence tools such as PowerBI, Spotfire, Tableau is a plus
• Competences:
• R is a plus, PySpark is a plus
• 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 + Belonging - Committed to Welcoming, Celebrating and Thriving. Learn more about our Employee Inclusion Groups on our website https://www.smith-nephew.com/
• Your future: stock purchase program, referral bonus, subsidy in transport and food, recognition program.
• Work/Life Balance: Extra days off, birthday off, voluntary hours.
• Your Wellbeing: company doctor, medical insurance, gym, health campaigns, employee assistance program, parental leave.
• Flexibility : Hybrid work model (for more professional roles), flexible schedules.
• Training: Training program, unlimited learning.
• Extra perks: employees association, and more...
• #LI-HYBRID
• 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.

Benefits

Additional Information

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 data scientist. 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 leveraging modern cloud and data lake environments to develop AI/ML solutions and analytical prototypes using rich clinical and operational datasets. 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. This position is a P3 level What will you be doing? Data Science, ML/AI Development, and Deployment: Collaborate with clinical data scientists, biostatisticians, and clinical operations experts to identify use cases for data science-based solutions and AI models 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 Generate actionable insights from a rich historical repository of clinical research data Support the integration of AI/ML 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/ML models in production, 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 Travel Requirements: What will you need to be successful? Required Qualifications Education : Currently pursuing a bachelor's, master's, or PhD degree in a relevant field (e.g., data science, computer science, engineering). A relevant graduate degree is preferred. Language: Advanced English skills Competences: Proficiency in Python (required)

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