Lead Data Scientist, HCC

Johnson & Johnson•Titusville, NJ
•Hybrid

About The Position

Johnson & Johnson is recruiting a Lead Data Scientist for its Healthcare Compliance (HCC) group. This hybrid role is based in Titusville, New Jersey; New Brunswick, New Jersey; São Paulo, Brazil; or Bogotá, Colombia. The role designs, develops, and scales data-driven, AI/ML-enabled solutions to enhance global Healthcare Compliance operations. It connects compliance, analytics, technology, and business teams to identify opportunities, develop solutions, and operationalize digital capabilities that improve monitoring, insights, risk management, productivity, and decision-making. The Lead Data Scientist serves as a technical lead for advanced analytics, automation, generative AI, Copilot agents, and enterprise AI solutions supporting HCC across regions and markets. The position also advises global compliance leaders and business stakeholders, leads solution discussions and evaluations, translates business requirements into technical solutions, and mentors team members in modern analytics and AI practices.

Requirements

  • Strong proficiency in data science, machine learning, and advanced analytics to develop predictive, operational, and insight-driven solutions.
  • Strong proficiency in Python or R and SQL for data extraction, feature engineering, modeling, automation, and analytics development.
  • Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field and 5 years of relevant experience; or a master’s degree and 3 years of relevant experience.
  • Experience developing and deploying machine learning models using common libraries and frameworks.
  • Experience with NLP libraries, extracting text from documents (OCR), and generating embeddings for downstream work.
  • Experience processing and analyzing large, complex datasets for advanced analytics.
  • Experience leading analytical projects and influencing cross-functional teams.
  • Experience with AI, generative AI, and Copilot technologies, and ability to translate emerging technologies into practical business solutions.

Nice To Haves

  • Communication
  • Complaints investigation
  • Compliance management
  • Corporate governance
  • Critical thinking
  • Data reporting
  • Attention to detail
  • Governance, Risk and Compliance (GRC) platforms
  • Healthcare industry
  • Healthcare regulation
  • Internal auditing
  • Legal services
  • Medical compliance
  • Organization
  • Problem solving
  • Process improvement

Responsibilities

  • Design, develop, validate, and deploy machine learning models to identify healthcare compliance risks, anomalies, and emerging patterns.
  • Apply supervised and unsupervised machine learning techniques, including classification, clustering, and anomaly detection, to business questions.
  • Develop statistical and analytical methodologies for proactive risk monitoring and identification.
  • Build scalable analytical pipelines and workflows using structured and unstructured data sources.
  • Evaluate model performance and improve models through monitoring, retraining, and validation.
  • Query and analyze large, complex datasets to create reproducible, scalable data science solutions.
  • Develop and deploy Copilot agents, chatbot solutions, and knowledge retrieval capabilities to improve program efficiency and user experience.
  • Incorporate governance standards into analytics work and partner with governance, compliance, and technology teams to support responsible AI adoption and alignment with organizational standards.
  • Act as a trusted technical advisor to global compliance leaders and business stakeholders.
  • Lead solution discussions, proof-of-concepts, demonstrations, and technology evaluations.
  • Translate business requirements into technical solutions and drive execution from concept through deployment.
  • Mentor team members and promote adoption of modern analytics and AI practices.

Benefits

  • Consolidated retirement plan (pension)
  • 401(k) savings plan
  • Vacation: 120 hours per calendar year
  • Sick time: 40 hours per calendar year, with different amounts specified for Colorado and Washington residents
  • Holiday pay, including floating holidays: 13 days per calendar year
  • Work, Personal and Family Time: up to 40 hours per calendar year
  • Parental leave: 480 hours within one year of the birth, adoption, or foster care of a child
  • Bereavement leave: 240 hours for an immediate family member and 40 hours for an extended family member per calendar year
  • Caregiver leave: 80 hours in a 52-week rolling period
  • Volunteer leave: 32 hours per calendar year
  • Military spouse time-off: 80 hours per calendar year
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