Experienced Data Scientist, Advanced Analytics – MedTech Quality & Compliance

Johnson & Johnson Innovative Medicine • Irvine, CA

2d • $92,000 - $148,350 • Hybrid

About The Position

Johnson & Johnson MedTech is seeking an Experienced Data Scientist, Advanced Analytics to join our Quality and Compliance Advanced Analytics Team. This role will support Johnson & Johnson MedTech companies, focusing on designing and automating data pipelines, improving data analytics accessibility, and developing advanced analytics and automation solutions to enhance efficiency within MedTech Quality & Compliance (Q&C). The position involves advanced analytics and data science application development, reporting to the Manager, Advanced Analytics, and collaborating with a diverse team across the J&J MedTech sector.

Requirements

• A Bachelor of Science degree in a technical field (e.g. Data Science, Statistics, Business Analytics, Life Sciences, Quality Engineering, Health Informatics etc.) is required.
• A minimum of 4 years of relevant work experience is desired.
• Expertise in R, Python and SQL with experience in various data manipulation and analysis libraries.
• Proven ability to analyze, clean and summarize large datasets using a scripting language is required.
• Strong problem-solving and analytical skills with a proactive and solution-oriented approach.
• Excellent written and verbal communication skills is required.
• Attention to detail is critical to the success of this role.
• Professional application of Microsoft Office software (e.g. Outlook, Word, PowerPoint, Excel, OneNote) is required.
• Proven understanding of statistical and machine learning concepts is required.
• Ability to prepare data analysis results for presentations and discussions (e.g. graphs, charts, slides, RMarkdown, etc.) is required.
• Capacity to manage multiple responsibilities and priorities is required.
• Ability to work effectively in a collaborative environment is required.
• Ability to work proactively, independently, and efficiently under limited supervision is required.

Nice To Haves

• Experience in R package development is highly preferred.
• Experience in software testing/validation is highly preferred.
• Experience in managing databases and servers is desired.
• Experience in project and stakeholder management is desired.
• Quality System and Medical Device experience preferred.

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.
• Manages cross-functional, multi-level stakeholders and project requirements through effective communication.

Benefits

• medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• consolidated retirement plan (pension) and savings plan (401(k)).
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior