LVT is hiring an Associate Director, Oncology AI Imaging Biomarkers to lead the strategic and technical advancement of AI-based biomarkers within our Oncology R&D portfolio. You will apply your deep expertise in digital image analysis and AI/ML to validate innovative biomarker approaches and integrate insights into clinical development strategies.
What You'll Do
- Serve as an internal subject matter expert in digital and computational pathology, computer vision, and AI-driven image analysis workflows.
- Collaborate with internal molecular pathology, biomarker discovery, translational research, computational biology, computer vision, and clinical development teams.
- Integrate digital biomarker insights into drug development and precision medicine diagnostic strategies.
- Articulate highly technical methods and results to diverse audiences to drive decision-making.
- Critically evaluate external algorithms, platforms, and emerging technologies.
- Shape internal vs. external partnering strategy, explore external collaboration opportunities, and manage external partnerships.
What We're Looking For
- PhD or equivalent advanced degree in a quantitative discipline and experience in pathology, computational biology, data science, biomedical engineering or related fields.
- 5+ years of business experience in pharmaceutical, biotech, or diagnostics R&D with direct experience in computational pathology, computer vision, tissue image analysis workflows, and/or AI-enabled diagnostic product development.
- Proven record developing and implementing Oncology Computer Vision applications.
- Experience in a matrixed organization, entrepreneurial skills, and ability to influence and engage strategic and technical partners.
Nice to Have
- Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
- Familiarity with diagnostic product development and evidence-generation requirements (design controls, clinical validation, regulatory pathways, etc.).
- Experience analyzing or handling healthcare datasets, including imaging, EHR, claims, multi-omics, registry data, etc.
Team & Environment
Reports to the Head of Solid Tumor Oncology, R&D Data Science & Digital Health.
Benefits & Compensation
- Compensation: $137,000 to $235,750.
- Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- 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.
- Work, Personal and Family Time - up to 40 hours per calendar year.
Work Mode
This is an onsite role located in Spring House, PA, Titusville, NJ, Raritan, NJ, New Brunswick, NJ, Cambridge, MA, or San Diego, CA.
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 law.
