Job Description

Description

Johnson and Johnson Innovative Medicine R&D is recruiting for a Director, DSDH, Discovery and Portfolio Strategy, Immunology. This outstanding leader and data science expert will work to optimize our discovery and development portfolios with a focus on translation of genomics, transcriptomics, proteomics, and metabolomics data to inform target identification and validation, as well as biomarker discovery. This role requires knowledge of sophisticated analytics of multivariate data domains, and utilizing artificial intelligence and machine learning techniques to optimize programs across discovery and development. This includes novel uses of multi-omic and clinical data from multiple sources, including, but not limited to: large biobanks; preclinical and clinical studies; and real-world data. Analyses will drive precision medicine strategy for target discovery and patient stratification. This role will also support integrating data science and digital health throughout development programs across the portfolio. This role will report to the Vice President, DSDH, Immunology, Cardiopulmonary, and Communicable Diseases. Key Responsibilities: The ideal candidate will have a strong understanding of disease biology and AI/ML techniques and their application in biomarker and drug discovery, as well as experience with inflammatory diseases. The candidate should have strong stakeholder management skills, and will be responsible for ideating and executing the strategy of AI and ML-based target and biomarker discovery for the Data Science and Digital Health team that is aligned to immunology, all in close partnership with internal stakeholders and partners. The candidate's work will be tightly coupled with our Immunology Discovery and Translational Science & Medicine, Population Genetics, and R&D Data Science teams. • Create the strategy and process for evaluating target opportunities from the perspective of multi-omics biology, drawing upon a combination of internal and external resources. • Develop tools and platforms to enable AI/ML-driven discovery and translational science initiatives. • Collaborate with scientists and clinicians to develop data-driven strategies for precision medicine in immunology by being forward-looking and foreseeing the path to launch. • Chart the path for the use of real-world data integrated within clinical programs to accelerate development, and strengthen understanding of unmet need and opportunities to benefit patient subtypes within and across immunology indications. • Manage a robust portfolio of Data Science projects spanning RWE to Computer Vision to Digital Health from a milestone perspective Remain current on the constantly evolving landscape of Immunology, genomics, bioinformatics and AI/ML research and the use of RWD in search of new strategies for strengthening the portfolio.