Director, Oncology Enterprise Data Science, R&D Oncology Data Science & Digital Health

Johnson & Johnson•San Diego, CA

23h

About The Position

Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You’ll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine.

Requirements

Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications.
5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry.
Foundational knowledge and experience in machine learning, and AI.
Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools)
Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration.
Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
Proven record leading technology initiatives with multi-disciplinary and remote partners.
Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning.
Must have the capacity to translate discussions into user requirements and project plans.
Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Nice To Haves

Experience with NLP, LLM, Generative models important.

Responsibilities

You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline.
Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data.
Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community.
Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists.
Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains
Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets.

Benefits

employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program.
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year