
Senior Database Analytics Specialist
4 days ago
Seeking an experienced Health Economics & Outcomes Research (HE&OR) Associate to support clients in the Life Sciences industry. This position is responsible for scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.
Key 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 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 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 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 Microsoft Office Suite (Word, PowerPoint, Excel).
- Positive attitude/interested: Good candidates care about results and how they be used. They are willing to spend more time to explore more in addition to what is requested. They are able to readily take ownership of responsibilities.
- Good problem-solving/critical thinking skills: Good candidates are able to understand problems clearly. They ask right questions, break problems down into hypotheses and propose solutions in a coherent manner.
- Solid programming and analytical skills: Good candidates demonstrate competence in application of statistical techniques and professionalism in programming which includes good programming habit and self-QC process.
- Good communication skills: Good candidates are able to take detailed study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with teams, while maintaining integrity of key findings.
- Great at time and task management: Good candidates are able to estimate amount of time needed to complete task, communicate this to client clearly and deliver it on time.
- Quick learning capability/Self-motivated: Good candidates have ability to learn new technologies on their own.
- Good team player.
About Us
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