Senior Data Scientist - Business Innovation

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +1

Senior Data Scientist role focused on developing and deploying AI/ML solutions within the pharmaceutical commercial space at Johnson & Johnson. The role involves extracting insights from data, identifying use cases, building and testing models, and partnering with business stakeholders to implement predictions and drive business value. Experience with GenAI, LLMs, and commercial pharmaceutical data is preferred.

What you'd actually do

  1. Extract insights from pharmaceutical data and work with business stakeholders to implement model predictions in real-world deliverables.
  2. Identify appropriate use cases for data science initiatives and steer the creation, testing and support of models that deliver value through data-driven insights.
  3. Model creation, feature generation, data cleaning, and data exploration.
  4. Produce functionalized, reusable code for solutions across multiple brands.
  5. Partner closely with cross-functional teams, business partners, and vendors to deliver actionable solutions and to help shape data science strategy.

Skills

Required

  • Ph.D. or M.S. with 3+ years of industry experience in Data Science, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, or a related discipline.
  • Strong working knowledge of machine learning and AI platforms/environments.
  • Strong working knowledge of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, classification, forcasting, neural networks, and/or Bayesian models.
  • Proficiency with Python and SQL.
  • Proficient with source control platforms such as GitHub or BitBucket.
  • Experience in the commercial pharmaceuticals business.
  • Working knowledge of commercially available healthcare data sets (e.g. electronic medical records and medical / pharmacy insurance claims data).
  • Experience working closely with business partners and vendors in a project management capacity.
  • Experience delivering on data science projects using predictive technologies.
  • Ability to translate business needs into impactful data/technology use cases and products.
  • Strong communication skills and ability to communicate complex methods and results to diverse audiences.
  • Comfort working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
  • Electronic Health Records (EHR)
  • Python (Programming Language)
  • SQL Script
  • Vendor Partnerships

Nice to have

  • Building end-to-end GenAI powered solutions that drive business value.
  • Evaluation, validation, and refinement of LLM frameworks and generative AI applications.
  • Continual learning, prompting, and LLM fine tuning.
  • Familiarity with open-source and gated/paid model landscape.

What the JD emphasized

  • Experience in the commercial pharmaceuticals business
  • Working knowledge of commercially available healthcare data sets (e.g. electronic medical records and medical / pharmacy insurance claims data)
  • Building end-to-end GenAI powered solutions that drive business value

Other signals

  • implement model predictions in real-world deliverables
  • deliver value through data-driven insights
  • deliver actionable solutions
  • apply them to solve problems
  • Building end-to-end GenAI powered solutions that drive business value