Pre Clinical Safety Data Scientist
About The Position
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours.
Requirements
- Candidates must be legally authorized to work in the U.S. and must not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
- M.S. or Ph.D. ( preferred) in Data Sciences, Computational & Integrative Sciences or equivalent , with proven track record (e.g publications, posters, presentations) of applying modeling, simulation, and computational approaches for real world academic or industry toxicology/health sciences studies
- You’re available to complete a 2-year assignment, with the potential to extend to 3 years in Summit, NJ (Hybrid)
- Strong proficiency with programing languages such as SQL, Python, R, etc.
- Experience and the ability to review relevant scientific literature.
- Ability to build effective working relationships.
- Strong aptitude for sharing expertise with cross-functional and global teams.
- Ability to communicate effectively both orally and in writing in an interdisciplinary environment.
- Strong teamwork skills with independent working style, high level of initiative, reliability, and readiness to take on responsibility.
Nice To Haves
- M.S. or Ph.D. ( preferred) in Data Sciences, Computational & Integrative Sciences or equivalent
Responsibilities
- Designs and implements innovative omics‑based and computational toxicology approaches to address key challenges in product development.
- Incorporates AI tools, large language models (LLMs), and agentic workflows into daily scientific operations to accelerate discovery, documentation, review, and insight generation.
- Utilizes modeling, simulation, and machine‑learning–driven predictions to support decision‑making for candidate selection, formulation optimization, and risk assessment.
- Leverages literature, public datasets, and internal data—or proposes new experiments—to validate computational models and test model‑generated hypotheses.
- Partners closely with teams across R&D, Medical Safety, and Regulatory Affairs to integrate computational findings with experimental evidence and guide project strategy.
- Communicates complex computational approaches and data-derived insights to technical and non‑technical audiences through clear reports, presentations, and scientific deliverables.
- Contributes to manuscripts, conference materials, and external collaborations.
- Maintains broad and current knowledge of toxicology, computational biology, and data science trends, actively interpreting and applying emerging research to R&D initiatives.
Benefits
- Paid Company Holidays
- Paid Vacation
- Volunteer Time
- Learning & Development Opportunities
- Kenvuer Impact Networks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
