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Principal Scientist, Safety Data Science

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

The Principal Scientist, Safety Data Science leads the development and deployment of medical safety data models into production.

This role plays a pivotal part in advancing AI/Machine Learning (ML) capabilities within the Global Medical Safety organization by developing ground breaking solutions and leading projects that deliver measurable business impact.

Collaborates closely with IT teams, business partners, and scientific authorities to ensure flawless model deployment and alignment with functional priorities.

Key Responsibilities


* Optimally deploy AI/ML models into scalable, production-grade environments while ensuring their reliability, adaptability, and business impact


* Lead end-to-end projects, including requirement gathering, solution design, implementation, and handoff


* Work closely with business collaborators to identify needs, define success metrics, and deliver impactful solutions


* Research, develop, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP)


* Evaluate and integrate new data sources, emerging tools, and sophisticated analytics methodologies to transform the organization’s capabilities


* Design interactive dashboards and data applications to present insights clearly to non-technical partners


* Stay at the forefront of AI/ML advancements and promote innovative solutions to drive the organization forward


* Continuously refine processes and workflows to boost efficiency, effectiveness, and reproducibility of ML solutions

 Qualifications



* Master’s or Doctorate degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Bioinformatics or a related field is required


* Minimum of 5 years of industry experience in Data Science, with demonstrated deployment expertise


* Demonstrable experience in leading projects, running multi-functional teams, and collaborating effectively with business partners


* Demonstrated ability to build end-to-end data science solutions, including data ingestion, pipeline development, model trainin...




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