Associate Director, Oncology AI Biomarkers – Diagnostics
OneTrust
full-time
Posted on:
Location Type: Hybrid
Location: Spring House • California, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $137,000 - $235,750 per year
Job Level
Senior
About the role
- 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.
- Partner with External Innovation, business development and alliance management teams to assess partnerships and ensure successful external collaboration management.
Requirements
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
computer visionmultimodal data integrationcomputational pathologyAI-driven image analysisdeep learningmachine learningtissue image analysisevidence-generation strategiesregulatory pathwaysQA/QC
Soft skills
collaborationleadershipinfluenceengagemententrepreneurial mindsetcritical evaluationstrategic thinkingcommunicationproblem-solvingteamwork
Certifications
MDMD/PhDPhD