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# Director, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancer

- **Company:** Johnson & Johnson
- **Location:** Raritan, NJ, United States
- **Experience:** Expert
- **Salary:** $164,000.0 - $282,900.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Cyber Security, Computer Literacy, Data Files, Data Mining, Data Structures, Text Mining, Electronic Medical Records, Information Technology, Data Management, Programming Languages
- **Published:** August 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/director-data-data-science-and-artificial-intelligence-oncology-bladder-cancer-raritan-nj--381f8350-cf93-4766-a46f-3f4138a98af8

## About the Role

* Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science).
 * A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real-world evidence, or 8 years in clinical practice with outcomes research experience.
 * Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
 * An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
 * Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities
 * Experience working with healthcare-related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research.
 * Prior experience working and driving external partnerships, either corporate or academic
 * Proven track record of managing timelines and driving key deliverables in a matrixed organization
 * Excellent communication, interpersonal, and written skills, * Working knowledge of genitourinary clinical oncology
 * Hematology/ Oncology fellowship training
 * R&D Experience at a pharmaceutical company, biotech or partner organization
 * Knowledge of regulatory science

This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.) This position may require up to 10% travel., Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility

Skills:
Algorithms, Alliance/Partner Management, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Background Investigation, Biostatistics, Biotech and Pharmaceutical, Business Case, Business Model, Cancer, Clinical Outcomes, Clinical Practices/Protocols, Clinical Support, Clinical Trial, Communication Skills, Compensation and Benefits, Computer Science, Computer Security, Cross-Functional, Data Analysis, Data Mining, Data Science, Data Sets, Data Structures, Disease Prevention and Control, Diversity, Documentation, Drug Development, Epidemiology, Fellowship, Healthcare, Hematology, Interpersonal Skills, Investment Management, Master Data Management (MDM), Matrix Management, Medical Affairs, Medical Record System, Medicine, Negotiation Skills, Oncology, Pathology, Pharmacoepidemiology, Problem Solving Skills, Product Management, Public Health, Quality Control, Regulations, Regulatory Submissions, Research & Development (R&D), Scientific Research, State Laws and
Regulations, Statistical Modeling, Statistics, Strategic Planning, Team Lead/Manager, Team Player, Text Mining, Thought Leadership, Time Management, Training Data Sets, Translational Research, Use Cases, Writing Skills

## Description

Johnson & Johnson Innovative Medicine is recruiting for a Director, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancer to join the J&J Research and Development Data, Data Science, and AI (DDSAI) team. You will report to the Head of Solid Tumor Oncology, DDSAI. This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.), The R&D Data, Data Science, and AI, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late stage Oncology Compound Development Team(s) with a specific focus on the Bladder Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data, Data Science, and AI, you will deliver
solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in the Oncology Therapeutic Area. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact., * Serve as primary scientific and strategic business leader for clinical-stage Bladder Cancer Program within Data, Data Science, and AI

 * Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development.
 * Provide subject matter expertise in bladder cancer clinical development, trial design, real-world evidence generation, and ML/AI tools.
 * With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
 * Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions.
 * Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for program needs


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