Note: The job is a remote job and is open to candidates in USA. Mindlance is seeking a Clinical Application Specialist II to support real-world data and analytics activities within Clinical Sciences and Global Epidemiology. The role develops and executes data and statistical analyses, contributes to observational study design, conducts literature reviews, and communicates findings to epidemiologists and cross-functional stakeholders.
Responsibilities
- Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
- Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
- Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures. Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
- Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
- Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
- Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
- Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
- Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data
Skills
- MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or related field
- With 4-5 years of epidemiology and/or public health experience with a Master degree or 1-2 years of experience with a Ph.D. degree
- Proficient with SAS, SQL, R, or related statistical software or other data analysis tools for data analysis, modeling, and visualization
- Familiar with real-world data (e.g. health insurance claims, EMRs) concepts and structures
- Extensive experience in manipulating and analyzing these databases is required
- Knowledge and experience in different therapeutic areas
- Ph.D
- Pharmaceutical industry experience
Benefits
- 100% remote work
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