
Data Driven Health Economist
5 days ago
Our company is seeking an experienced Health Economics & Outcomes Research Associate to join our team. This role will be responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.
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.
Education: Minimum MS in statistics, biostatistics, epidemiology, health economics and outcomes research, health policy, or similar.
Experience: At least 2 years' hands-on experience in observational data studies.
Skills: Professional programming skills with SAS. SQL and R programming experience are plus. Excellent interpersonal communication and study management skills.
Personal Qualities: 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).
We are a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
We have more than 180 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Join us to accelerate your career and contribute to the growth of our company. Learn more about our culture and values below.
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