HEOR data Analyst (Science & Biotech)
Homebased, MA 02139
Recruited by: Ali Henderson | Recruiter | SimulStat Inc. See all my Jobs

Hiring Company: Simulstat's client
Industry: Science & Biotech
Compensation: Depends On Experience
Expires: Feb 14, 2023

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Job Description

Remote HEOR Analyst
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
• 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