Apply on Employer Site

Johnson & Johnson Innovative Medicine · 1 day ago

Senior Director, Head of Hematology R&D Data Science & Digital Health

New Brunswick, NJ

Full-time

Hybrid

Director/Executive

$173K/yr - $299K/yr

8+ years exp

Johnson & Johnson Innovative Medicine is a pharmaceutical company focused on healthcare innovation. The Senior Director, Head of Hematology R&D Data Science & Digital Health will lead a team to deliver innovative Data Science and Digital Solutions for the Oncology Hematology portfolio, supporting clinical development with advanced methodologies and analytics.

Pharmaceuticals

Responsibilities

Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle

Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI)

Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives

Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research

Identify and procure data sets and technologies for bespoke applications. Manage external partnerships

Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies

The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research

Qualification

Data ScienceAI/Machine LearningClinical DevelopmentHealth Science DegreeDrug Development KnowledgeReal-World EvidenceTeam LeadershipExternal PartnershipsCommunication SkillsProject Management

Required

Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design

A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area

8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics

Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions

Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims

Capacity to manage timelines and drive key deliverables in a matrix environment

Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals

Prior experience working and driving external partnerships, either corporate or academic

Ability to effectively communicate technical work to a wide audience

Team leadership either preferably as a line function leader or in some cases leader in a matrix environment