Distinguished Scientist, Nonclinical Safety and Computational Toxicology

Johnson & Johnson • San Diego, CA

44d • $160,000 - $276,000 • Onsite

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 https://www.jnj.com 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 Johnson & Johnson Innovative Medicine is currently seeking a Distinguished Scientist, Nonclinical Safety and Computational Toxicology, to join our Preclinical Sciences and Translational Safety organization. This position will be located at our office in either Spring House, PA, or San Diego, CA (La Jolla area). (No fully remote option available.) The Distinguished Scientist, within the Preclinical Sciences and Translational Safety (PSTS) organization, will lead the application of data science and machine learning (ML) methodologies to the assessment of nonclinical safety and generation of submissions deliverables. This role will emphasize 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

• A minimum of a Ph.D. in Biomedical Sciences, Toxicology, Pharmacology, Computational Biology, Bioinformatics, Data Science or a related discipline is required.
• A minimum of 8 years of relevant experience in nonclinical drug development and submissions supporting diverse modalities, geographies, and therapeutic areas is required.
• A minimum of 6 years of experience in data science with a focus on machine learning, predictive modeling, data mining, statistics, deep learning, and/or data visualization/dashboarding frameworks is required.
• Proven track record of implemented data science tools and innovation is required.
• Strong change/process management experience is required.
• Strong project management skills required.
• Must have excellent communication and interpersonal skills with the ability to lead and influence across functions.
• Must have strong negotiating, troubleshooting and organizational skills.
• The ability to collaborate effectively with all levels in a matrix environment is required.
• This position will be located in either Spring House, PA or San Diego, CA, and requires the ability to work across time zones, with approximately 10% travel.

Nice To Haves

• Knowledge of Good Laboratory Practice (GLP), Standardization for Exchange of Nonclinical Data (SEND) and data security/integrity standards preferred.

Responsibilities

• Global Lead for nonclinical safety and submissions data science and ML initiatives for the Department of Nonclinical Safety and Submissions (NCSS), ensuring strong project management and collaboration with partners within and external to PSTS (e.g., Information Technology 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 and 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

• Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
• Vacation - up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees