HEOR Analyst - Contract

Vertex Pharmaceuticals

2d • $65 - $73

About The Position

Key Responsibilities:
· Conduct data queries and analyses using in-licensed real world data assets to support the product portfolio and development in 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
Qualifications:
· Master’s degree in Epidemiology, Public Health, Biostatistics or related field
· Minimum 3 years of relevant professional SAS programming experience; Experience with other statistical software and visualization tools such as R/Rshiny, Python, Visual Basic Application, or Tableau, while not required, is a plus
· Minimum 3 years of experience conducting real world studies using large healthcare claims/EHR databases for HEOR or related functions (e.g., MarketScan, PharMetrics Plus, Premier)
· Amazon Redshift experience; Additional Snowflake experience would be a bonus
· Working knowledge of diagnostic, procedure, and healthcare coding systems
· Experience with statistical methods such as survival and regression analyses
· Demonstrated ability to design and execute observational research
· Strong study and project management skills
· 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

Requirements

• Master’s degree in Epidemiology, Public Health, Biostatistics or related field
• Minimum 3 years of relevant professional SAS programming experience
• Minimum 3 years of experience conducting real world studies using large healthcare claims/EHR databases for HEOR or related functions (e.g., MarketScan, PharMetrics Plus, Premier)
• Amazon Redshift experience
• Working knowledge of diagnostic, procedure, and healthcare coding systems
• Experience with statistical methods such as survival and regression analyses
• Demonstrated ability to design and execute observational research
• Strong study and project management skills
• 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

Nice To Haves

• Experience with other statistical software and visualization tools such as R/Rshiny, Python, Visual Basic Application, or Tableau
• Additional Snowflake experience

Responsibilities

• Conduct data queries and analyses using in-licensed real world data assets to support the product portfolio and development in 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

What This Job Offers

• Career Level: Mid Level