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Senior Health Economist
2 weeks ago
We are currently seeking an experienced professional to join our team as a Senior Associate, specializing in Real World Evidence. This position is responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.
Main 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.
- 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).
- A positive attitude and willingness to learn.
- Good problem-solving and critical thinking skills.
- Solid programming and analytical skills.
- Good communication skills.
- Great time and task management skills.
- Quick learning capability and self-motivation.
- Able to work well in a team environment.
- 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).
About Our Organization
We bring together a range of functional competencies in marketing science, market research, forecasting, and sales force effectiveness to provide our clients with fully integrated solutions that support their commercial success.
