Associate Director, Oncology AI Imaging Biomarkers

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, 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.
 

Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results.
 

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 recruiting for an Associate Director, Oncology AI Imaging Biomarkers to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, R&D Data Science & Digital Health. You will support the strategic and technical advancement of AI-based biomarkers within J&J’s Oncology R&D portfolio. This role demands deep expertise in digital image analysis, computer vision, and AI/ML (artificial intelligence and machine learning) applications in pathology. The successful candidate will be responsible for executing studies that validate innovative AI-driven biomarker approaches and integrating insights into drug development strategies.

The location for this position is either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 10% travel. (No remote option.)

Key Responsibilities:

• Serve as an internal subject matter expert in digital and computational pathology, computer vision, and AI-driven image analysis workflows, bringing expertise in histopathological features, staining protocols, AI model training & validation, and model interpretability & explainability.
• Collaborate with internal molecular pathology, biomarker discovery, translational research, computational biology, computer vision, and clinical development teams to integrate digital biomarker insights into JNJ drug development and precision medicine diagnostic strategies.
• Clearly articulate highly technical methods and results to diverse audiences to drive decision-making
• Critically evaluate external algorithms, platforms, and emerging technologies (e.g., multimodal data integration, deep learning architectures, etc.)
• Shape internal vs. external partnering strategy, explore external collaboration opportunities, and ensure successful external partnership management.

Required Qualifications:

• PhD or equivalent advanced degree in a quantitative discipline and experience in pathology, computational biology, data science, biomedical engineering or related fields.
• 5+ years of business experience in pharmaceutical, biotech, or diagnostics R&D with direct experience in computational pathology, computer vision, tissue image analysis workflows, and/or AI-enabled diagnostic product development.
• Proven record developing and implemen