Distinguished Scientist, Nonclinical Safety and Computational Toxicology

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:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Nonclinical Safety

Job Category:

Scientific/Technology

All Job Posting Locations:

San Diego, California, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

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.  

Key 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. 

Qualifications:

• 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.
• Knowledge of Good Laboratory Practice (GLP), Standardization for Exchange of Nonclinical Data (SEND) and data security/integrity standards preferred.
• 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.  (No fully remote option available.)

Johnson & Johnson is an Equal Opportunity Employer.  All qualified applicants will receive Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an, accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $160,000 - $276,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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)).

Employees are eligible for the following time off benefits:
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
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills:

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