Nonclinical Safety Computational Toxicologist, Distinguished Scientist

Johnson & Johnson • San Diego, PA

8h • $164,000 - $282,900

About The Position

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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for a Nonclinical Safety Computational Toxicologist, Distinguished Scientist, in Spring House, PA or La Jolla, CA. The Nonclinical Safety Computational Toxicologist, Distinguished Scientist, in the Preclinical Sciences and Translational Safety (PSTS) organization within J&J Research & Development, will lead application of data science and machine learning (ML) methodologies to the assessment of nonclinical safety and generation of submissions deliverables. This role emphasizes using next generation data science tools and systems to guide decisions, improve efficiency, and ensure regulatory compliance throughout the drug discovery and development pipeline.

Requirements

• Minimum of PhD in biomedical sciences, toxicology, pharmacology, computational biology, bioinformatics, data science, or advanced degree in a relevant field is required.
• A minimum of 8 years of relevant experience is required in nonclinical drug development and submissions supporting diverse modalities, geographies, and therapeutic areas.
• Extensive experience (6+ years) in data science with a focus on machine learning, predictive modeling, data mining, statistics, deep learning, and data visualization/dashboarding frameworks.
• Proven track record of implemented data science tools and innovation.
• Exceptional interpersonal skills, diplomacy and negotiating skills, troubleshooting skills and ability to work effectively in a collaborative environment.
• Strong leadership, project management, communication, and interpersonal skills to lead and influence across functions.
• Strong change/process management and organizational skills
• Knowledge of GLP, SEND, and data security/integrity standards

Nice To Haves

• Consulting
• Design Mindset
• Drug Discovery Development
• EHS Compliance
• Emergency Planning
• Performance Measurement
• Process Hazard Analysis (PHA)
• Process Optimization
• Program Management
• Regulatory Affairs Management
• Research and Development
• Risk Management
• Safety Audits
• Safety Investigations
• Safety-Oriented
• Scientific Research
• Stakeholder Engagement
• Strategic Thinking
• Technical Writing

Responsibilities

• Global lead for nonclinical safety and submissions data science and ML initiatives for Department of Nonclinical Safety & Submissions (NCSS), ensuring strong project management and collaboration with partners within and external to PSTS (eg IT Data Science), and alignment of data science/ML initiatives with overall strategic project goals of PSTS.
• Identify, assess, recommend, and develop proposals for new data science opportunities to drive next generation nonclinical safety tools, submissions, and strategy to predict, derisk, and/or understand potential toxicities and production of high quality, compliant submission documents.
• Create innovative visualizations and user interfaces to help scientists access & interpret data and translate complex data from diverse sources into actionable insights.
• Support development of new approach methodologies (NAMs) and computational methods to achieve 3Rs in drug development.
• Understand specific business needs and translate the scientific and regulatory challenges and opportunities into smarter data innovation solutions, and drive validation strategies for model performance.
• Drive rollout, re-enforcement, monitoring, and continuous improvement of implemented data science initiatives.
• Mentor and provide training on the use and utility of predictive ML approaches in drug safety and submissions.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree