Pre Clinical Safety Data Scientist

Pre Clinical Safety Data Scientist Location: North America, United States, New Jersey, Summit – Hybrid work location. Role reports to: Manager NA-Toxicology. What you will do Leverage advanced computational, omics, and data science approaches to support pre-clinical safety and product development decisions, integrating AI and machine learning tools to accelerate insights and enhance scientific workflows. Apply modeling, simulation, and predictive analytics to guide candidate selection, risk assessment, and formulation strategies, while generating and validating hypotheses using internal and external data. Work closely with cross‑functional partners across R&D, Medical Safety, and Regulatory to translate complex data into clear, actionable insights that inform strategy and innovation. Design and implement innovative omics‑based and computational toxicology approaches to address key challenges in product development. Incorporate AI tools, large language models (LLMs), and agentic workflows into daily scientific operations to accelerate discovery, documentation, review, and insight generation. Utilize modeling, simulation, and machine‑learning‑driven predictions to support decision‑making for candidate selection, formulation optimization, and risk assessment. Leverage literature, public datasets, and internal data—or propose new experiments—to validate computational models and test model‑generated hypotheses. Partner closely with teams across R&D, Medical Safety, and Regulatory Affairs to integrate computational findings with experimental evidence and guide project strategy. Communicate complex computational approaches and data‑derived insights to technical and non‑technical audiences through clear reports, presentations, and scientific deliverables. Contribute to manuscripts, conference materials, and external collaborations. Maintain broad and current knowledge of toxicology, computational biology, and data science trends, actively interpreting and applying emerging research to R&D initiatives. Requirements Must be legally authorized to work in the U.S. and not require sponsorship for employment visa status now or in the future (e.g., H1‑B status). MS or PhD (preferred) in Data Sciences, Computational & Integrative Sciences or equivalent, with a proven track record of applying modeling, simulation, and computational approaches for real‑world academic or industry toxicology/health sciences studies. Available to complete a 2‑year assignment, with potential to extend to 3 years in Summit, NJ (Hybrid). Strong proficiency with programming languages such as SQL, Python, R, etc. Experience and 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. What's in it for you Annual base salary for new hires in this position ranges: $55,675 – $78,600. Competitive Benefit Package Paid Company Holidays, Paid Vacation, Volunteer Time & More! Learning & Development Opportunities Kenvuer Impact Networks Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation. #J-18808-Ljbffr Kenvue Brands LLC