Senior Analyst, Data Science

6 days ago

Rajahmundry, Andhra Pradesh, India beBeeHealthEconomics Full time US$ 90,000 - US$ 1,20,000

Job Overview:

We are currently seeking a highly skilled professional to join our team as a Health Economics & Outcomes Research (HE&OR) Associate.

This is an exciting opportunity for someone who wants to make a meaningful impact in the Life Sciences industry by leveraging their analytical skills and knowledge of observational database analytics and evidence synthesis.

  • As a HE&OR Associate, you will be responsible for providing 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.
  • Effective 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.

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, 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)
Key Skills:
  • Programming skills: SAS, SQL, R
  • Analytical skills: Hypothesis testing, regression analysis, machine learning
  • Communication skills: Clear, concise writing and presentation
  • Time management skills: Estimate time required to complete tasks and deliver on time

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 This Role:

This is a fantastic opportunity to contribute to the success of our organization by applying your analytical skills and knowledge of observational database analytics and evidence synthesis.

As a HE&OR Associate, you will have the opportunity to work with a talented team of professionals who are passionate about making a meaningful impact in the Life Sciences industry.

Join us and become part of a dynamic team that values innovation, collaboration, and excellence.

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