Experienced Data Scientist, Advanced Analytics – MedTech Quality & Compliance

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Irvine, California, United States of America

Job Description:

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Johnson & Johnson MedTech is searching for the best talent for an Experienced Data Scientist, Advanced Analytics to join our Quality and Compliance Advanced Analytics Team.  This position is based in Irvine, CA, with the option for remote work within the US. (Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.)

The Experienced Data Scientist, Advanced Analytics, will provide support for Johnson & Johnson MedTech companies. The MedTech Quality and Compliance Advanced Analytics Team has three main objectives:

• Designing and automating data pipelines to ensure consistency and reliability in data used for application and report development.

• Improving accessibility and understanding of data analytics across all MedTech businesses.

• Developing and implementing advanced analytics methodology and automation solutions to improve efficiency across MedTech Q&C.

The Experienced Data Scientist, Advanced Analytics role includes responsibilities for advanced analytics and data science application development. This position reports to Manager, Advanced Analytics and will be a part of the HMT Digital Solutions, Advanced Analytics Team, collaborating with a team of data scientists, engineers, statisticians, clinicians, etc. across the J&J MedTech sector.
 

KEY RESPONSIBILITIES

• Works with team members internal and external to the advanced analytics team to implement customer-centric solutions for data analytics and process improvements.

• Participates and leads projects with varying timelines (e.g. hours to weeks) and complexities.

• Develops, validates, and implements machine learning models to address business challenges and drive predictive insights.

• Researches and explores the application of Generative AI solutions to enhance analytics capabilities and automate processes.

• Designs processes and develops scripts (using R, Python, etc.) to perform and automate data analysis of large and complex datasets (e.g. data wrangling, NLP/text mining, statistical modeling, etc.).

• Creates visualizations and presentations to provide insights into different types of data for technical and lay audiences.

• Ensures data analysis and results are accurate and logically sound.

• Diagnoses and troubleshoots scripts and algorithms for potential issues.

• Identifies opportunities for optimization and recommends process improvements by anticipating customer needs.

• Proposes implementation strategy for projects and data pipelines of moderate to high complexity.

• Adopts new technology and best practices in the data science field to maintain progressive advantage in the industry.

• Executes routine processes and responding to ad hoc requests in a highly regulated, fast-paced quality system environment.