Translating the analytics protocols into standardized, high-quality programming codes
Carry out the analysis plan in the approved protocol in a timely manner to meet project timelines
Develop Python programming pipelines for automated data query, data engineering, data integration, and data processing quality control tasks.
Develop Python-based machine learning models for analytics projects in the cardiovascular disease area (good to have)
Providing planned and on-demand programming/analytics support to the Market Access Analytics team researchers and scientists
Ensuring all market access analytics projects are conducted in compliance with internal/external policies and procurement requirements are satisfied
Qualifications:
A bachelor's degree in quantitative fields (economics, physics, statistics, engineering, data sciences, mathematics, etc.) is required; post-graduate training is highly preferred.
A minimum of 1 year of data-related experience is required.
Proficiency in SAS or SQL is required.
Self-motivation, self-initiation, attention to detail, and the ability to meet deadlines are required.
Proficiency with Python is a plus; hands-on experience with R and/or SAS is a plus.
Experiences in data collection and data processing are highly preferred.
Proficiency with Excel and other analytical tools (Tableau, Power BI) is a plus
Knowledge of medical terminologies (e.g., ICD, NDC, GPI, HCPCS, CPT) is preferred.
Algorithm-level understanding of popular analytic models is a plus