Provide scientific and analytic input to study protocols
Develop analytical plans and specifications for VBA analytics, rapid cycle analytics, and RWE studies
Provide expert input on the fit-for-purpose assessment of real world data (RWD) and the development of RWD platforms
Perform quality checks and peer-review of data and analytics, and support the feasibility analysis of data
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
Collaborate with team members to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study results.

Advanced degree, PhD, in quantitative field with 3+ years of experience (e.g. statistics, epidemiology, public health, data science)
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
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.

Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Advisor – Research Scientist, Advanced Real World Evidence Data Scientist, Analyst

Key skills