Experienced Data Scientist, Advanced Analytics – Medtech Quality & Compliance

Johnson & Johnson Johnson & Johnson · Pharma · Irvine, CA +1

Experienced Data Scientist focused on advanced analytics within the MedTech Quality & Compliance domain. Responsibilities include developing and implementing machine learning models, exploring Generative AI applications, automating data pipelines, and analyzing large datasets using R and Python. The role emphasizes predictive insights and process automation in a regulated environment.

What you'd actually do

  1. Works with team members internal and external to the advanced analytics team to implement customer-centric solutions for data analytics and process improvements.
  2. Participates and leads projects with varying timelines (e.g. hours to weeks) and complexities.
  3. Develops, validates, and implements machine learning models to address business challenges and drive predictive insights.
  4. Researches and explores the application of Generative AI solutions to enhance analytics capabilities and automate processes.
  5. 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.).

Skills

Required

  • 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.
  • Strong problem-solving and analytical skills with a proactive and solution-oriented approach.
  • Excellent written and verbal communication skills.
  • Attention to detail is critical to the success of this role.
  • Professional application of Microsoft Office software (e.g. Outlook, Word, PowerPoint, Excel, OneNote).
  • Proven understanding of statistical and machine learning concepts.
  • Ability to prepare data analysis results for presentations and discussions (e.g. graphs, charts, slides, RMarkdown, etc.).
  • Capacity to manage multiple responsibilities and priorities.
  • Ability to work effectively in a collaborative environment.
  • Ability to work proactively, independently, and efficiently under limited supervision.

Nice to have

  • Experience in R package development
  • Experience in software testing/validation
  • Experience in managing databases and servers
  • Experience in project and stakeholder management

What the JD emphasized

  • Proven ability to analyze, clean and summarize large datasets using a scripting language is required.
  • Excellent written and verbal communication skills is required.
  • Attention to detail is critical to the success of this role.
  • 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.

Other signals

  • 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.).