Johnson & Johnson is seeking to solve the problem of developing innovative medicines and treatments for complex diseases, including oncology and hematology, by leveraging data science and digital health initiatives.
Requirements
Advanced degree (PhD, MD, or PharmD/MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science).
Demonstrated proficiency in advanced analytical methodologies, including statistical modeling, biostatistics, machine learning or other relevant methods
Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics, with an understanding of their structure, limitations and applications to clinical research.
Robust understanding of the drug development process, including pre-clinical development, registrational clinical trials and regulatory frameworks for RWD/RWE and digital endpoints.
Experience with regulatory submissions and interactions, including the use of RWD/RWE to support regulatory decision-making.
Experience with research in the area of oncology.
Experience working with cross-functional teams to advance clinical trials in an R&D or Medical Affairs environment.
Responsibilities
Partner with the cross-functional CDT to design and execute data science and digital health strategies to support clinical research objectives across the drug development lifecycle.
Advance data science solutions, using real world evidence (RWE), analysis of clinical trial data, clinical phenotyping, medical imaging and biomarker analysis as appropriate.
With internal and external teams, leverage advanced analytics, including statistical models, machine learning and Generative AI, to uncover insights from these complex datasets
Develop, manage and communicate Data Science strategies for CDT’s and internal governance processes, including the reporting requirements for both regulatory-grade and observational research.
Partner with external vendors and internal stakeholders to identify data needs and procure novel data sources for bespoke applications.
Collaborate with Clinical Development, Medical Affairs, Regulatory, and Commercial teams to identify opportunities for data-driven innovation.
Evaluate and implement digital health technologies (e.g., wearables, mobile apps, remote monitoring) to enhance patient engagement and improve data collection.
Other
Excellent communication, leadership, and stakeholder management skills.
5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology.
Ability to work in a team environment and collaborate with cross-functional teams.
Strong foundation in drug development and data science methodologies.
