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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Bogotá, Distrito Capital, Colombia, São Paulo, BrazilJob Description:
We are currently recruiting for a Lead Data Scientist for our Healthcare Compliance group. This is a hybrid role based in Titusville, NJ, New Brunswick, NJ, Sao Paulo, Brazil and Bogota, Colombia.
Position Summary
The lead data scientist is responsible for designing, developing, and scaling data-driven, AI/ML enabled, solutions that enhance Healthcare Compliance operations globally. The role bridges compliance, analytics, technology, and business teams to identify opportunities, develop innovative solutions, and operationalize digital capabilities that improve monitoring, insights generation, risk management, productivity, and decision-making.
This role serves as a technical lead for advanced analytics, automation, generative AI, Copilot agents, and enterprise AI solutions supporting HCC functions across multiple regions and markets.
Key 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 to support proactive risk monitoring and risk identification.
- Build scalable analytical pipelines and workflows using structured and unstructured data sources.
- Evaluate model performance and continuously improve models through monitoring, retraining, and validation.
- 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 efficiency and user experience in our program.
- Ensure governance standards are incorporated in analytic work.
- Partner with governance, compliance, and technology teams to ensure responsible AI adoption and alignment with organizational standards.
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, modelling, automation, and analytics development.
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering or related quantitative field with 5 years of relevant experience; OR Masters degree with 3 years of relevant experience.
- Experience in developing and deploying ML models using common libraries and frameworks
- Experience working with NLP libraries, extracting text from documents (OCR), and generating embeddings for downstream work.
- Experience in processing and analyzing large, complex data sets for advanced analytics
- Experience in 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.
Stakeholder Management & Leadership
- 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.
Education Qualification:
Bachelor’s degree in data science, statistics, mathematics, computer science, engineering or related quantitative field with 5 years of relevant experience; OR Masters degree with 3 years of relevant experience.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow AnalysisSkills Required
- Bachelor's degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field, plus 5 years of relevant experience; or a master's degree plus 3 years of relevant experience.
- Strong proficiency in data science, machine learning, and advanced analytics.
- Strong proficiency in Python or R and SQL.
- Experience developing and deploying machine learning models using common libraries and frameworks.
- Experience with NLP libraries, document text extraction using OCR, and generating embeddings.
- 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, including translating emerging technologies into business solutions.
- Advanced analytics experience.
- Business intelligence experience.
- Coaching and mentoring experience.
- Data privacy standards knowledge.
- Data visualization, econometric modeling, workflow analysis, database management, and process improvement experience.
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
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