Position Title: Consultant, Outcomes Research Stats Analyst

Work Location: Remote

Assignment Duration: 6 months

Work Schedule: 8 AM - 5 PM

Work Arrangement: 100% Remote

Position Summary: 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.

Background & Context: The role of Consultant, Outcomes Research Stats Analyst reports to the Sr. Director, Head of Statistical Programming and Outcomes Analytics. The position supports internal research programs involving observational studies for developmental and commercialized projects across the portfolio at The Organization. The data is communicated to internal stakeholders and supports research projects reviewed for congress and manuscript submission.

Key Responsibilities:

• 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.

Qualification & 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.

Additional Information (If Applicable): 
• 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.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 85.00/hr.