Sr. Clinical Data Scientist

Expected Travel: Up to 10%

Requisition ID: 12144 

About Teleflex Incorporated

As a global provider of medical technologies, Teleflex is driven by our purpose to improve the health and quality of people’s lives. Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio with solutions in the therapy areas of anesthesia, emergency medicine, interventional cardiology and radiology, surgical, vascular access, and urology. We believe that the potential of great people, purpose-driven innovation, and world-class products can shape the future direction of healthcare. 
 
Teleflex is the home of Arrow™, Barrigel™, Deknatel™, QuikClot™, LMA™, Pilling™, Rüsch™, UroLift™ and Weck™ – trusted brands united by a common sense of purpose.
 
At Teleflex, we are empowering the future of healthcare.  For more information, please visit teleflex.com.

Global Functions – The Corporate division is the central operating unit of the company; setting strategy and policy and providing business development, finance, human resources, information technology, investor relations and legal support to the businesses. The global Company headquarters is located just outside of Philadelphia in Wayne, PA. Join a dynamic, growing team that offers healthcare providers an array of medical technology solutions that make a difference in patients’ lives.

Position Summary

As a Sr. Clinical Data Scientist, you will play a key role in identifying, analyzing and interpreting clinical study and real-world data (RWD) to generate valuable insights and support evidence-based decision making.
The incumbent will develop state-of-the-art solutions using advanced statistical and clinical data science techniques, generate clinical study and Real World Evidence (RWE) by analysing large or high-dimensional data in clinical studies, applying advanced statistics and machine learning, conducting post-hoc analyses, reusing historical data and performing meta-analysis and systematic reviews to inform evidence-based decision-making. 
The Senior Clinical Data Scientist will leverage clinical study and RWD to analyse health datasets collected from digital health tools through real-world or clinical study settings. This role’s contribution will be pivotal in shaping Teleflex’s strategy to deliver results, where you can make a difference through your technical and collaboration skills. 
 

Principal Responsibilities

•    Customer Experience – Representing Teleflex in a customer facing position is a tremendous responsibility and opportunity.  All CMA colleagues are expected to perform with the highest levels of professionalism, service and ethics in order to strengthen the Teleflex brand and relationship with our customers. 
•    Continuous Improvement - Demonstrates initiative and critical thinking to identify, prioritize process and performance gaps.  Develops solutions to deliver improving results. Exemplifies continuous improvement thought processes and focus.  
•    Culture and Values – Exemplifies Teleflex values and ensures a fair, open and productive climate that is engaging, ethical, and legally compliant.  Strives to work effectively across boundaries in a complex matrix environment. 
•    Identify and define analytical problems related to RWE, leveraging domain knowledge and data science techniques to develop scalable, data-driven solutions.
•    Design and implement advanced data mining, statistical modelling, and machine learning techniques to analyse complex and heterogeneous RWD datasets.
•    Engineer robust and efficient preprocessing pipelines for cleaning, transforming, and integrating large-scale real-world datasets, ensuring data quality, consistency, and integrity.
•    Utilize high-performance computing strategies to optimize the processing and analysis of large datasets, enabling rapid iteration and scalable insights.
•    Apply machine learning and deep learning algorithms to discover patterns, assess risks, and provide predictive insights, with a focus on accuracy, interpretability, and performance.
•    Develop predictive models for outcome forecasting, trend analysis, and scenario planning, ensuring alignment with healthcare regulatory and ethical standards.
•    Collaborate with cross-functional teams, including clinical, regulatory, and technical stakeholders, to translate complex analyses into actionable business strategies and decisions.
•    Employ state-of-the-art data visualization techniques and storytelling frameworks to effectively communicate insights to both technical and non-technical audiences.

•    Contribute to the development of innovative, data-driven products and solutions for the healthcare industry, incorporating best practices in model deployment and performance moni