Johnson & Johnson
Associate Director, Oncology AI Biomarkers & Diagnostics
Johnson & Johnson, Raleigh, North Carolina, United States
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.
Job Function:
Data Analytics & Computational Sciences Job Sub Function:
Data Science Job Category:
People Leader 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. 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. Key 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. 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. Cross-functional Collaboration: Support adoption of advanced analytics solutions 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. Partner with External Innovation, business development and alliance management teams to assess partnerships and ensure successful external collaboration management. Required Qualifications: 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. Collaborate and lead in a matrix organization, entrepreneurial mindset, and ability to influence and engage strategic and technical partners. Experience working in the Oncology therapeutic area. Preferred Qualifications: 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. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. 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.
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Data Analytics & Computational Sciences Job Sub Function:
Data Science Job Category:
People Leader 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. 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. Key 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. 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. Cross-functional Collaboration: Support adoption of advanced analytics solutions 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. Partner with External Innovation, business development and alliance management teams to assess partnerships and ensure successful external collaboration management. Required Qualifications: 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. Collaborate and lead in a matrix organization, entrepreneurial mindset, and ability to influence and engage strategic and technical partners. Experience working in the Oncology therapeutic area. Preferred Qualifications: 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. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. 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.
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