Clinical Statistical Programmer II (Associate)

Qualifications:
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.

Responsibilities:
Core elements enabling success in the role will include:
Focusing across Womens Health Established Brands Biosimilars and in-licensing 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. 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.

Comments/Special Instructions

• Degree in Health Economics Biostatistics Health Services Research Public Health Epidemiology Pharmacy Administration or a related discipline.
• Experience in coding developing analytical datasets and conducting statistical analysis.
• Minimum 7 years of SAS programming experience.
• Minimum 4 years of hands-on experience with real-world studies using large claims/EMR databases in HEOR.
• Strong SAS programming and data analysis skills.
• Extensive experience with large healthcare databases such as US insurance claims databases electronic medical records and registry databases.
• Experience in R/Rshiny programming.
• Not looking for clinical statistical analysis expertise.