Associate Director, Observational Data Analytics

2 weeks ago

Jodhpur, Rajasthan, India beBeeHealthEconomics Full time ₹ 60,00,000 - ₹ 1,20,00,000
Job Opportunity:

We are seeking an experienced Health Economics & Outcomes Research Associate to join our team. The ideal candidate will be responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis.

Responsibilities:
  • Consult with internal stakeholders 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 using SAS based on claim database, EMR database, registry data, and public used files.
  • Generate high-quality, readily interpretable deliverables, such as data tables, graphs, charts, and 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.
  • Communicate research findings internally and externally, as appropriate, such as congresses, publications.
  • Implement the latest methodologies and analytical techniques.
  • Contribute to the continuing education of relevant line functions on RWE methodologies.
Requirements:
  • Minimum MS in statistics, biostatistics, epidemiology, health economics, and outcomes research or similar.
  • At least 2 years' hands-on experience in observational data studies.
  • Professional programming skills with SAS. SQL and R programming experience are a 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.
  • 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).
Qualifications:
  • Positive attitude: Good candidates care about the result and how the result is used.
  • Good problem-solving/critical thinking skills: Good candidates understand problems clearly.
  • Solid programming and analytical skills: Good candidates demonstrate competence in statistical techniques and professional programming.
  • Good communication skills: Good candidates take detailed study results and communicate them in a clear manner.
  • Great at time and task management: Good candidates estimate the amount of time needed to complete a task.
  • Quick learning capability/Self-motivated: Good candidates have the ability to learn new technologies on their own.
  • Good team player
About Us:

Our organization brings together a range of functional competencies in marketing science, market research, forecasting, and sales force effectiveness to provide fully integrated solutions for our clients.

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