Lead Data Scientist, HCC
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 position designs, develops, and scales data-driven and AI/ML-enabled solutions to enhance global Healthcare Compliance operations. It connects compliance, analytics, technology, and business teams to identify opportunities and operationalize digital capabilities that improve monitoring, insight generation, risk management, productivity, and decision-making. The role also serves as a technical lead for advanced analytics, automation, generative AI, Copilot agents, and enterprise AI solutions supporting HCC functions across regions and markets. The Lead Data Scientist develops and deploys machine learning models and analytical methods to identify compliance risks, anomalies, and patterns; builds scalable pipelines from structured and unstructured data; and monitors and improves model performance. The position also develops Copilot agents, chatbot solutions, and knowledge-retrieval capabilities, while incorporating governance standards and promoting responsible AI adoption. The role advises compliance leaders and business stakeholders, leads solution discussions and evaluations, translates business needs into deployed technical solutions, and mentors team members.
Requirements
- 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.
- Strong proficiency in data science, machine learning, and advanced analytics for predictive, operational, and insight-driven solutions.
- Strong proficiency in Python or R and SQL for data extraction, feature engineering, modeling, automation, and analytics development.
- Experience developing and deploying machine learning models using common libraries and frameworks.
- Experience with NLP libraries, extracting text from documents using 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, with the ability to translate emerging technologies into practical business solutions.
Nice To Haves
- Communication
- Complaints Investigation
- Compliance Management
- Corporate Governance
- Critical Thinking
- Data Reporting
- Detail-Oriented
- Governance Risk and Compliance (GRC) Platforms
- Healthcare Industry
- Health Care Regulation
- Internal Auditing
- Legal Services
- Medical Compliance
- Organizing
- Problem Solving
- Process Improvements
Responsibilities
- Design, develop, validate, and deploy machine learning models to identify potential 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.
- Monitor, validate, and improve model performance, including through retraining.
- Query and analyze large, complex datasets to create reproducible and 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 analytical work and partner with governance, compliance, and technology teams to support responsible AI adoption and organizational alignment.
- 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 accruals specified for employees residing in Colorado and Washington
- 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 a child’s birth, adoption, or foster care placement
- Bereavement leave: up to 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
