Clinical Application Specialist II

This role is 100% remote

Job Description:
• The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences. The role provides expertise of real-world data and analysis methods within Clinical Sciences. Required to draw upon their experience to develop data/statistical analysis plans and execute data analysis with minimal technical oversight. Required to be able to independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary. This person should be able to do comprehensive literature review for real-world data methodology and coding algorithm. Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.

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

Qualifications:
• MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or related field. Ph.D. is preferred.
• 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 (must have). Pharmaceutical industry experience is preferred.
• 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.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”