KMK Consulting is hiring a
Health Economics & Outcomes Research Associate

Summary

The job is for an experienced HE&OR Associate who will provide consultation on internal RWE databases studies/analyses, execute RWE studies using various data sources, generate deliverables, manage and track all studies to ensure timelines are met, communicate research findings internally and externally, contribute to the continuing education of relevant line functions on RWE methodologies, and have a positive attitude, good problem-solving skills, solid programming and analytical skills, good communication skills, great time and task management skills, quick learning capability, self-motivation, and be a good team player.

Requirements

• Minimum MS in statistics, biostatistics, epidemiology, health economics and outcomes research, health policy, or similar
• At least 2 years’ hands-on experience in observational data studies
• Professional programming skills with SAS. SQL and R programming experience are plus
• Excellent interpersonal communication and study management skills
• Ability to take detailed HE&OR study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings
• Ability to work effectively in a constantly changing, diverse, and matrix environment
• Ability to proactively identify new opportunities and solutions
• Strong working knowledge of the Microsoft Office Suite (Word, PowerPoint, Excel)

Responsibilities

• Provide consultation on all aspects of internal RWE databases studies/analyses including objectives, study design, data source identification, protocol development, statistical analysis and interpretation
• Execute RWE studies/analyses by SAS based on claim database, EMR database, registry data and public used files
• Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports)
• Develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior programmers
• Effectively manage and track all studies/analyses to ensure timelines are met and all stakeholders aware of project status
• Effectively communicate research findings internally and externally, as appropriate (e.g., congresses, publications)
• Ensure latest methodologies and analytical techniques are implemented
• Contribute to the continuing education of relevant line functions on RWE methodologies

Preferred Qualifications

• Preferred MS in statistics, biostatistics, epidemiology, computer science, or other quantitative analysis fields
• Demonstrated competence in the application of statistical techniques, such as hypothesis testing, regression analysis, machine learning, etc
• R and/or Python programming experience is plus