Associate Director, Oncology AI Biomarkers & Diagnostics

Johnson & Johnson • Ambler, PA

22d • Hybrid

About The Position

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/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting an Associate Director, Oncology AI Biomarkers & Diagnostics to join the J&J Research and Development Data Science and Digital Health team. You will report to the Senior Director, Data Science & Digital Health, Oncology. You will spearhead the strategic and technical advancement of AI-based diagnostics within J&J’s Oncology R&D. This role demands deep expertise in digital image analysis, computer vision, and AI/ML applications in pathology, with proven success in executing studies that validate innovative AI-driven diagnostic approaches. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel.

Requirements

• MD, MD/PhD, PhD or equivalent advanced degree and experience in pathology, computational biology, data science, biomedical engineering or related fields.
• 5+ years of progressive business experience in pharmaceutical or diagnostics R&D with direct experience in computational pathology, computer vision, tissue image analysis workflows, and AI-enabled diagnostic product development.
• Knowledge of deep learning and machine learning techniques in healthcare applications.
• Familiarity with diagnostic product development and evidence-generation requirements (design controls, clinical validation, regulatory pathways, etc.).
• Collaborate and lead in a matrix organization, entrepreneurial (‘fail-forward-fast’ mindset) skills, and ability to influence and engage strategic and technical partners.
• Experience working in the Oncology therapeutic area.

Nice To Haves

• Experience with deploying AI models into clinical workflows and monitoring AI performance post-deployment.
• Experience analyzing or handling healthcare datasets, including imaging, EHR, claims, multi-omics, registry data, etc.

Responsibilities

• Execute JNJ’s strategy for AI-driven biomarkers and diagnostics, emphasizing computer vision and multimodal data integration.
• Serve as the internal subject matter expert in computational pathology, computer vision, and AI-driven image analysis workflows, bringing expertise in histopathological features, staining protocols, and their impact on image analysis, AI model training & validation, and model interpretability & explainability.
• Lead evidence-generation strategies, including clinical validation and regulatory pathways for AI-enabled diagnostic platforms.
• Support the design and execution of proof-of-concept studies, ensuring robust QA/QC of pathology image data used in algorithm training and validation.
• Critically evaluate external algorithms, platforms, and emerging technologies (e.g., multimodal data integration, deep learning architectures, etc.)
• Support adoption of advanced analytics solutions, such as computational pathology, radiomics, etc. across R&D and early and late-stage clinical development, ensuring scientific rigor and regulatory compliance.
• Collaborate with internal molecular pathology, biomarker discovery, translational research, computer vision, clinical development, medical affairs, diagnostics, regulatory, and commercial teams to assess feasibility, fit, train & validate algorithms, guide technical evaluation criteria; and integrate insights into JNJ drug development and precision medicine diagnostic strategies.
• Partner with External Innovation, business development and alliance management teams to assess partnerships and ensure successful external collaboration management.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees