Associate Director – Hematology, Oncology Data Sciences & Digital Health

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 the strategic business leader for data science and digital health initiatives within a clinical-stage development program in the Hematology-Oncology portfolio. As a strategic partner to cross-functional Compound Development Teams (CDTs), the Associate Director will identify opportunities for data-driven decision-making and innovation in study design, execution, and capability building. The role requires close collaboration with clinical teams and functional partners—including Translational Research, Precision Medicine, Regulatory Affairs, Market Access, and Clinical Development—to implement end-to-end data science solutions that drive scientific and operational impact.

The successful candidate will lead matrixed teams, including technical data science groups (e.g., RWE analytics, AI/ML, data engineering), and evaluate external partnerships to incorporate emerging technologies and digital health solutions into clinical trials. Applications may include clinical phenotyping, medical imaging, and real-world evidence generation using advanced statistical methodologies and machine learning techniques (e.g., generative AI).

This role demands a strong foundation in drug development and data science methodologies, creativity to invent and customize solutions, and the ability to communicate and interpret scientific results with clarity and strategic foresight. You will be part of a dynamic, accomplished team supporting the development of novel medicines at Johnson & Johnson Innovative Medicine – Hematology Oncology R&D.

Key Responsibilities

• Partner with the cross-functional CDT to design and execute data science and digital health strategies to support clinical research objectives across the drug development lifecycle.

• Advance data science solutions, using real world evidence (RWE), analysis of clinical trial data, clinical phenotyping, medical imaging and biomarker analysis as appropriate. 

• With internal and external teams, leverage advanced analytics, including statistical models, machine learning and Generative AI, to uncover insights from these complex datasets

• Develop, manage and communicate Data Science strategies for CDT’s and internal governance processes, including the reporting requirements for both regulatory-grade and observational research.

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

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

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