Advisor - Research Scientist - Advanced Real World Evidence Data Scientist & Analyst

Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. They are seeking a Research Scientist to provide scientific influence and advanced analytics expertise in generating real-world evidence for their portfolio, while collaborating with team members to communicate study results and insights effectively.

Responsibilities:

• Provide scientific and analytic input to study protocols
• Develop analytical plans and specifications for VBA analytics, rapid cycle analytics, and RWE studies, particularly using secondary data sources, such as healthcare claims data, electronic medical records data, etc
• Provide expert input on the fit-for-purpose assessment of real world data (RWD) and the development of RWD platforms, including collaboration with key partners in Tech@Lilly and our RWD strategy team
• Perform quality checks and peer-review of data and analytics, and support the feasibility analysis of data, including simple sample size estimation
• Transform RWD sources to analysis ready data sets to enable rapid generation of RWE
• Apply the spectrum of advanced analytical methods to RWD, conduct appropriate statistical analysis, deliver study results on time
• Clearly interpret study results and influence the project team to deliver scientifically robust RWE
• Attend and influence in external forums and conferences as needed in dealing with RWE analytics and clinical/health information, particularly as it relates to RWE
• Collaborate with team members to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study results
• Assist with, or be responsible for, communicating study results via dashboards, final reports, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key population-based decision makers (PBDMs) and internal leaders
• Understand disease states, competitive landscapes, and healthcare environment in order to enhance the level of PBDM focus and collaboration and be seen as a strong scientific contributor
• Train yourself as and when needed to support diversification of work, including data linkage to Lilly data backbone, data science methods, machine learning and artificial intelligence
• Support and participate in cross-functional coaching, mentoring, and training

Requirements:

• Advanced degree, PhD, in quantitative field with 3+ years of experience (e.g. statistics, epidemiology, public health, data science) or a Master's degree in analytics related field with 7+ years of experience in real world data and real-world evidence generation
• Proficient in use of data analytic tools and analytics languages and statistical software (e.g. R, Python, SAS)
• Prior experience with commonly used RWD sources (e.g., administrative medical and pharmacy claims, electronic health records)
• Familiarity with observational study principles and study designs evidenced by previous research experience
• Demonstrated history of contribution to peer-reviewed publications
• Prior data and analytics experience in pharma, managed care or similar healthcare industry
• Expertise in foundational data archetypes of structured and unstructured RWD, including various types of RWD
• Understanding of medical and pharmacy coding (e.g. NDC, ICD, CPT, HCPCS)
• Technical expertise and application with working knowledge of experimental design and statistical analysis
• Proficient with data visualization software and dashboard creation
• Expertise with external health data and information standards for the structure, processing, and delivery of health information. This includes the issues of information representation and interoperability between systems
• Demonstrated ability to influence and collaborate within and across cross-functional teams primarily residing in US time zones
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables