Johnson & Johnson Innovative Medicine is looking to advance the strategic and technical development of AI-based diagnostics within their Oncology R&D by hiring an Associate Director, Oncology AI Biomarkers & Diagnostics.
Requirements
- 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.).
- 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.
Other
- MD, MD/PhD, PhD or equivalent advanced degree and experience in pathology, computational biology, data science, biomedical engineering or related fields.
- 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.
- This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and 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.
- Up to approximately 15% travel may be required.
