Johnson & Johnson
Associate Director Oncology AI Biomarkers Diagnostics
Johnson & Johnson, Cambridge, Massachusetts, us, 02140
Overview
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 www.jnj.com 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 Role Description
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 requires 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 Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Key Responsibilities
Scientific and Technical Expertise: 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.). Cross-functional Collaboration: 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. Qualifications
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 (design controls, clinical validation, regulatory pathways, etc.). Collaborate and lead in a matrix organization, entrepreneurial fail-forward-fast 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. Work Arrangement
This position currently has the option to follow a hybrid schedule of 3 days per week on-site and 2 days per week remote (no fully remote option). It can be located at Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. EEO & Benefits
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an inclusive interview process. If you are an individual with a disability and would like to request an accommodation, please contact us via www.jnj.com/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. This position is eligible for an annual performance bonus. Bonuses are awarded at the Company’s discretion on an individual basis. Eligible employees may participate in medical, dental, vision, life insurance, disability, and other benefits, as well as retirement plans (pension and 401(k)). Time off benefits: Vacation up to 120 hours/year; Sick time up to 40 hours/year; Holiday pay up to 13 days/year; Personal and Family Time up to 40 hours/year. Additional information can be found at www.careers.jnj.com/employee-benefits The compensation and benefits information applies to candidates hired in the United States. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid
#J-18808-Ljbffr
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 www.jnj.com 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 Role Description
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 requires 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 Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Key Responsibilities
Scientific and Technical Expertise: 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.). Cross-functional Collaboration: 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. Qualifications
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 (design controls, clinical validation, regulatory pathways, etc.). Collaborate and lead in a matrix organization, entrepreneurial fail-forward-fast 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. Work Arrangement
This position currently has the option to follow a hybrid schedule of 3 days per week on-site and 2 days per week remote (no fully remote option). It can be located at Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. EEO & Benefits
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an inclusive interview process. If you are an individual with a disability and would like to request an accommodation, please contact us via www.jnj.com/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. This position is eligible for an annual performance bonus. Bonuses are awarded at the Company’s discretion on an individual basis. Eligible employees may participate in medical, dental, vision, life insurance, disability, and other benefits, as well as retirement plans (pension and 401(k)). Time off benefits: Vacation up to 120 hours/year; Sick time up to 40 hours/year; Holiday pay up to 13 days/year; Personal and Family Time up to 40 hours/year. Additional information can be found at www.careers.jnj.com/employee-benefits The compensation and benefits information applies to candidates hired in the United States. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid
#J-18808-Ljbffr