Johnson & Johnson MedTech · 18 hours ago
Principal Data Scientist
Johnson & Johnson MedTech is dedicated to healthcare innovation, aiming to improve health outcomes through advanced technologies. The Principal Data Scientist will design, develop, and deploy AI solutions while collaborating with cross-functional teams to address complex health challenges.
Hospital & Health Care
Responsibilities
Design and implement end-to-end AI solutions using both discriminative (e.g., classification, regression, etc.) and generative (e.g., LLMs, content synthesis, etc.) approaches
Select appropriate algorithms and architectures, balancing accuracy, interpretability, and performance
Build proof-of-concept models and scale them into production-ready solutions
Integrate LLM APIs and RAG pipelines where applicable, leveraging enterprise-approved tools and platforms
Partner with stakeholders to translate business objectives into clear problem statements and AI solution design
Work with data engineers to ensure pipelines and data sources are optimized for AI workloads
Collaborate with data governance teams to ensure models are developed and deployed in compliance with privacy, security, and ethical AI standards
Use Dataiku (or similar platforms) to accelerate solution development, experimentation, and deployment
Contribute to reusable templates, workflows, and best practices for AI/ML delivery
Stay informed on emerging AI methods, tools, and frameworks, advising on strategic adoption for the organization
Perform other related tasks as assigned by management
Qualification
Required
Master's Degree / PhD + 4 years' experience, OR Bachelor's Degree + 6 years' experience
Educational degree in quantitative field, such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, and/or related quantitative
Expertise in both discriminative and generative AI approaches, including deep learning architectures
Proficiency in Python and common ML frameworks
Strong foundation in statistics, optimization, and algorithm design
Hands-on experience with Dataiku or similar AI/analytics platforms such as Databricks, SageMaker, or Vertex AI
Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads
Ability to communicate complex technical concepts to non-technical audiences
Ability to travel both domestically and internationally may be required (~5-10%)
Ability to flex hours to accommodate multiple time zones when necessary
Preferred
Familiarity with data governance frameworks and model risk management practices
Knowledge of MLOps concepts and tools for model monitoring, CI/CD, and automated retraining
Experience working in large matrixed organization, with Global footprint
Benefits
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
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/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Company
Johnson & Johnson MedTech
At Johnson & Johnson MedTech, we are working to solve the world’s most pressing healthcare challenges through innovations at the intersection of biology and technology.