Associate Director, Data Scientist - Nonclinical Safety and Submissions
- 8580-Johnson & Johnson Taiwan Ltd. Legal Entity
- Spring House, Pennsylvania, United States of America
- 5mo ago
- Full-Time
- Hybrid
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:
Data Analytics & Computational SciencesJob Sub Function:
Data Science Portfolio ManagementJob Category:
ProfessionalAll Job Posting Locations:
San Diego, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob 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 an Associate Director, Data Science, to join our Nonclinical Safety and Submissions (NCSS) team. 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.)
Nonclinical Safety & Submissions (NCSS), Preclinical Sciences and Translational Safety (PSTS), is seeking a highly motivated Associate Director to lead the delivery of transformative data analytics and capabilities that will drive diagnostic efficiency, holistic data interpretations, and robust mechanistic insights to power the new discovery paradigm. NCSS is a team of toxicologists and nonclinical writers responsible for delivering end to end on the PSTS portfolio (efficacy-to-safety, Discovery through Post-Marketing) across all J&J modalities and therapeutic areas.
The Associate Director, Data Scientist will advance the digital transformation of NCSS by deploying data and nonclinical submissions solutions across NCSS functions to interrogate, analyze and interpret multimodal nonclinical safety data, enabling the integration and interpretation of study data, meta-analyses, mechanistically founded hypothesis generation and predictive modeling. Success in this role requires strong matrix leadership skills, effective stakeholder management, and a breadth of biology and computational knowledge to translate key concerns and portfolio needs into meaningful data science solutions and investigating those using relevant data analytics and visualization techniques. The candidate is proactive, intellectually curious and will thrive in a dynamic, multidisciplinary and collaborative environment. This role is expected to provide support across all NCSS functions.
Key Responsibilities:
Education:
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 travel expected <10%. (No fully remote option available.)
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 $137,000 to $235,750. 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:
Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility