Johnson & Johnson Innovative Medicine

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

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.
 

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.

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.

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) skills, 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.

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.    

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 interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/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. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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

Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

 

 

Preferred Skills: