Data Scientist, DePuy Synthes

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Zuchwil, Switzerland

Job Description:

We are searching for the best talent for a Data Scientist, located at any DePuy Synthes site location. This position will report directly to the PMS/CQ Data Analytics Performance Manager.

Purpose: The Data Scientist will be responsible for post market surveillance data analytics projects for DePuy Synthes which span across multiple orthopaedics product platforms such as Trauma & Extremities, Joint Reconstruction, Spine, Sports Medicine, Craniomaxillofacial & Thoracic, Biomaterials and VELYS Enabling Technology. As a Data Scientist, you will analyze large post market datasets to support the identification of post market quality issues and trends. The Data Scientist will collaborate with a team of engineers, data scientists, and clinicians to support routine post market surveillance processes (e.g. complaint trending, quality system documentation, corrective action, signal detection, audit, documentation, analytics etc.) as well as ad-hoc projects.

You will be responsible for:

• Complete analysis of post-market and related datasets (e.g., product complaints, malfunctions, adverse events, capital equipment service records, clinical reviews, registries, post-market studies, literature) to identify safety and quality signals and translate findings into actionable recommendations.

• Perform data manipulation, automation, and reproducible analyses using R (including Shiny), Python, and SQL; create scripts and pipelines to streamline routine processes.

• Apply a broad set of data science techniques — data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data science strategies, data management, AI, etc. — to projects with timelines ranging from hours to weeks.

• Execute complaint trending and signal detection processes in accordance with regulatory and quality system requirements, ensuring traceability and documentation.

• Preform data analysis to support cross-functional stakeholder investigations, audits, CAPAs, field actions and regulatory inquiries.

• Develop and maintain dashboards and reports to monitor key metrics, surface trends, and measure the impact of interventions.

• Propose and implement process and analytical improvements (including alternative methods and algorithms) to challenge the status quo and increase surveillance effectiveness and efficiency.

• Follow software development best practices: version control, clear documentation, testing, and reproducible code.

• Perform other duties as assigned.

Qualifications/Requirements:

• A Bachelor's degree in a technical or clinical field (e.g. Epidemiology, Biomedical Engineering, Data Science, Biostatistics, Applied Statistics, Business Analytics, Life Sciences, Quality Engineering, Health Informatics etc.) is required.

• A minimum of 2 years of relevant work experience is required.

• A background in statistical/data analysis, data management and processes including knowledge of data science and management software technology is required.

• Experience cleaning and summarizing large data sets is required.

• Competency using and writing scripts with the R Programming language to analyze data is required.

• Ability to work efficiently with general or limited supervision, self-learn, and self-seek solutions is required.

• Quality System and Medical Device experience preferred.

• Capacity to manage multiple priorities and work with management and stakeholders to prioritize is preferred.

• Must be intellectually curious with the ability work independently and in groups while working in environments with fluctuating and competing priorities preferred.

• You are passionate about continuous improvements and bringing innovative ideas, products and services to life and advancing the health and well-being of people around the world preferred.

• Your communication skills are strong, with ability to communicate clearly and appropriately in both written & oral forms preferred.

• Demonstrates positive CREDO behaviors and demeanor that reflect understanding and support of the organizational values preferred.

• Up to 10% travel  for this role may be required.

• Location of Role: Any DePuy Synthes site location (e.g. Zuchwil, CH, or Raynham, MA or Palm Beach Gardens, FL or Warsaw, IN or West Chester, PA)

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

United States - Requisition Number: R-092653

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Collaboration, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Mathematical Software, Statistics, Technologically Savvy