Senior Analytics Professional

1 day ago

Agra, Uttar Pradesh, India beBeeHealthEconomics Full time US$ 80,000 - US$ 1,00,000
Health Economics & Outcomes Research Associate

The role of a Health Economics and Outcomes Research (HEOR) Associate involves working closely with cross-functional teams to deliver high-quality analytics solutions.

  • Key Responsibilities:
  • Provide consultation on the scientific and methodological aspects of observational database analytics and evidence synthesis with minimal supervision.
  • Execute RWE studies/analyses by leveraging claim database, EMR database, registry data and public used files.
  • Develop high-quality, readily interpretable deliverables such as data tables, graphs, charts, study reports.
  • Manage and track all studies/analyses to ensure timely completion and stakeholder awareness.
  • Effectively communicate research findings internally and externally.
  • Ensure latest methodologies and analytical techniques are implemented.
  • Contribute to the continuing education of relevant line functions on RWE methodologies.

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. 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.
  • 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/interested: Good candidates care about the result and how the result be used.
  • Good problem-solving/critical thinking skills: Good candidates are able to understand problems clearly.
  • Solid programming and analytical skills: Good candidates demonstrate competence in the application of statistical techniques.
  • Good communication skills: Good candidates are able to take detailed study results and communicate them in a clear, non-technical manner.
  • Great at time and task management: Good candidates are able to 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.

Technical requirements:

  • 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 Us:

We bring together functional competencies in marketing science, market research, forecasting and sales force effectiveness to provide our biopharma clients with fully integrated solutions that support their commercial success.

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