As a Principal Epidemiologist and Data Scientist in Epidemiology and Patient Data Products, you will lead groundbreaking research that is revolutionizing drug discovery . Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will have the opportunity to lead research initiatives and collaborate with a diverse team of experts (data scientists, epidemiologists, and clinicians) to address challenging problems that can have a significant impact on global health. As a senior member of our neurodegenerative disease drug discovery team, you will lead complex research projects from conceptualization through execution, that incorporate multiple workstreams stemming from real-world data studies (e.g., electronic medical records) for projects in drug discovery and development. Provide mentorship and oversee technical members of our Epidemiology and Patient Data team. In addition, Principal roles consult on partner teams, providing technical expertise across translational data science (e.g., knowledge graph, statistical genetics, computational biology). Be a project leader, engage external partners and stakeholders to translate research questions into observational study designs, implement project plans that prioritize high impact workstreams for clients, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights that resonate with diverse audiences. Collaborate with data science and program management functions to define project scope, establish timelines, and allocate resources . Leverage agile software tools (e.g., Jira boards) to manage complex projects and timelines across multiple workstreams. Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers. Work with a diverse array of global patient data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments. Be an active team member, championing and adopting shared analytic and coding standards.