Real World Evidence Associate/Senior Associate

Summary

Join KMK, a global data analytics and technology consulting firm, as a Health Economics & Outcomes Research (HE&OR) Associate. This role focuses on observational database analytics and evidence synthesis. You will provide consultation on RWE database studies, execute analyses using SAS, generate high-quality deliverables, and manage study timelines. Effective communication of research findings is crucial, both internally and externally. The position requires a minimum MS in a relevant field and at least two years of hands-on experience in observational data studies. Strong SAS programming skills and excellent communication abilities are essential.

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
• 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
• Effective 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
• Professional programming skills with SAS and SQL. R and/or Python programming experience is plus
• Strong working knowledge of the Microsoft Office Suite (Word, PowerPoint, Excel)