Merck Hiring Drive 2024 For Global RWD Analyst (Data Science) | Location Bengaluru

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Merck Hiring Drive 2024: Merck Hiring Drive 2024 for its Global RWD Analyst (Data Science). Merck Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Merck

Role: Global RWD Analyst (Data Science)

Location: Bengaluru

Experience: 1 – 3 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Merck Hiring Drive 2024

Job Description:

  • As a RWD Analyst you will be part of a team of Analysts that supports epidemiologists and other experts

Requirements:

  • At least 3 years experience in the Pharmaceutical/ Biotechnology industry in analyses of large RW datasets from automated healthcare databases (EMR and/ or claims data) or RW field studies is preferred
  • Working experience with SAS /R
  • Knowledge of relevant regulatory guidelines applicable to NIS, and more specifically to post authorization safety/efficacy studies
  • Knowledge of coding systems used in healthcare and pharmacovigilance databases (eg, ICD 9/ 10, CPT, HCPCS, READ codes, ATC classification, MedDRA )
  • Familiarization with or ability to develop an understanding of relevant therapeutic areas
  • Epidemiological knowledge would be a plus

Responsibility:

  • Act as the analyst for Non-Interventional Studies (NIS
  • Contribute to the writing of the standard NIS documents (including protocol development, iAP development and study report writing)
  • Write programs needed for the analysis and execute the analysis
  • Contribute to the report of study results and its interpretation
  • Contribute to the critical review of publications, and study proposals from internal and external sources
  • Understand and follow all Global Epidemiology-related SOP/ WIs and relevant Standards as we’ll as any other relevant internal documents
  • Contribute actively to achievement of team goals
  • Participate in the assessment of possible RW data sources to be licensed-in/ purchased and of analytical tools

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