HEOR Analyst

  • Contract
  • Remote

SimulStat

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Responsibilities:
•    Conduct data queries and analyses using in-licensed real world data assets to support the product portfolio and development therapeutic and disease areas; areas of research may include disease prevalence, disease burden and progression, healthcare resource utilization, and treatment patterns in ‘real world’ populations
•    Develop and implement efficient SAS programs for assigned projects
•    Assist in development of protocols/analysis plans
•    Generate analytic reports, tables, and graphics to communicate project findings 
•    Perform quality control checks of SAS programs and output produced by other programmers
•    Contribute to program library and analytic tools development (e.g., reusable macros, programming templates) and maintenance to ensure quality of data and analyses
•    Tracks and archives projects in accordance with department standards
•    Remains current on medical coding systems and relevant large healthcare databases; develops and maintains statistical programming skills

Minimum Qualifications:
•    Bachelor’s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content
•    Minimum 3 years of relevant professional SAS programming experience 
•    Minimum 2 years of experience conducting real world studies using large healthcare claims/EHR databases for HEOR or related functions
•    Prior experience working with DRG data
•    Working knowledge of diagnostic, procedure, and healthcare coding systems
•    Experience with statistical methods such as survival and regression analyses
•    Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas 
•    Ability to navigate and be successful in a fast-paced, dynamic team-based environment

Preferred Qualifications:
•    Master’s degree in Epidemiology, Public Health, Biostatistics or related field 
•    Experience with other statistical software and visualization tools such as Visual Basic Application, R/RShiny or Tableau, while not required, is a plus 
•    Amazon Redshift experience
•    Demonstrated ability to design and execute observational research
•    Strong study and project management skills
•    Experience with MarketScan and/or Premier would be a bonus

 

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