Core elements enabling success in the role will include:
Focusing across Women s Health, Established Brands, Biosimilars and in-licensing opportunities. In this role you will be responsible for the internal analysis for all internal projects research programs that include design and delivering internal research projects and insights. The role is responsible for the delivery of internal data analysis of studies involving observational studies for all developmental products and commercialized projects across the portfolio at ***. The data is to be communicated to all internal stakeholders and for support for research projects that are reviewed and go to congress and manuscript submission.
Strong programming skills in SAS programming and data analyses.
Extensive work experience with large US insurance claims databases, electronic medical records, registry databases for health outcomes research (e.g., Premier, IBM-marketscan, THIN European database, Humedica, IMSPharmetrics , GEhealth, Flatiron, OMNY etc.)
Experience with OMNY database and Dermatology is a plus
Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
Familiar with cloud and high-performance computing environments (Azure, AWS)
Develop protocols and Statistical Analysis Plan (SAP) based on the study concept, and ensure appropriateness of study design, sample size and statistical methodologies proposed.
Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
Conducts statistical analyses to generate tables, listings, and figures for use in publications/presentations and for internal purposes
Must be able to meet timelines with minimal supervision, have excellent verbal and written skills. Solid ability to translate statistical information.

Quals–
The role of Consultant, Outcomes Research Stats Analyst report to the Sr. Director, Head of Statistical Programming and Outcomes Analytics.

Education and Experience
Bachelors, Master or post-graduate degree (eg, PhD, DrPH, PharmD) in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.
Minimum 7 years of experience in SAS programming and a minimum 4 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR
Experience in R/Rshiny programming is a plus.

Note:
Remote role