Associate Director, R&D Data Science & Digital Health – Hematology/Oncology

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 Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Innovative Medicine at Johnson & Johnson is recruiting for an Associate Director of Oncology Data Science.

The primary location for this position is either New Brunswick, NJ or Spring House, PA. Consideration will be given to Boston, MA, Raritan, NJ, Titusville, NJ, La Jolla, CA, or other Innovative Medicine locations.

About Innovative Medicine

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

Position Summary

The Associate Director – Hematology, Oncology Data Sciences & Digital Health will serve as a strategic business leader for data science and digital health initiatives within a clinical-stage development program in the Hematology-Oncology portfolio, with a focus on CD3 T-cell engaging therapeutics in multiple myeloma.

You will partner with Clinical Development Teams (CDTs) to deliver advanced analytics, including statistical modeling and AI/ML, to support clinical development and regulatory objectives across the drug development lifecycle. The successful candidate will foster a culture of data-driven decision making and act as a scientific thought leader for Data Science within R&D Oncology.  

The role requires a strong foundation in drug development and core Data Science methodologies, including advanced statistical modeling or biostatistics.  Creativity and innovative thinking will be essential.  You will join a dynamic, accomplished team dedicated to advancing novel medicines within Johnson & Johnson Innovative Medicine – Hematology Oncology R&D.  

Key Responsibilities 

• Partner with cross-functional CDTs to design and implement Data Science strategies to support clinical development and regulatory objectives.   

• Apply advanced analytics (e.g. statistical modeling, AI/ML, generative AI) to a diverse range of applications, such as real-world evidence, clinical phenotyping, medical imaging, and biomarker analysis.  

• Develop, manage and communicate data-driven solutions to cross-functional teams and internal governance processes, including the reporting requirements for both regulatory-grade and observational research.   

• Partner with internal stakeholders and external vendors to identify data needs and procure novel data sources and/or technologies for bespoke applications. 

• Collaborate with Clinical Development, Medical Affairs, Regulatory, and Commercial teams to identify opportunities for data-driven innovation.

• Oversee timelines, budgets, and deliverables for scientific research projects.

• Serve as a representative for the broader organization in scientific collaborations, conferences, and consortia. 

Required Qualifications

• Advanced degree (PhD, MD, or PharmD/MS) in a field involving high-dimensional data analysis (e.g. computational research, pharmacoepidemiology, statistics, outcomes research or related field