Advanced Clinical Data Analyst

3 days ago

Kolkata, West Bengal, India beBeeStatistical Full time ₹ 14,40,000 - ₹ 21,60,000

Sponsor-dedicated career opportunities abound in this innovative role.

As a Senior Statistical Programmer, you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership.

Position Overview:

This exciting position leverages advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role can be performed as fully remote.

We value collaboration and invite diverse perspectives to create possibilities.

We prize innovation and seek intelligent solutions using leading-edge technology.

Responsibilities

Key responsibilities include:

  • Data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming
  • Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
  • Production and QC/validation programming
  • Generating complex ad-hoc reports utilizing raw data
  • Efficacy analysis
  • Submission documents and eCRTs creation and review
  • Communication with internal cross-functional teams and clients for project specifications, status, issues or inquiries

Requirements

To succeed in this position, you must have:

  • Bachelor's degree in Statistics, Computer Science, Mathematics, etc.
  • At least 7 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor's degree or equivalent.
  • Study lead experience, preferably juggling multiple projects simultaneously preferred.
  • Strong SAS data manipulation, analysis and reporting skills.
  • Experience implementing the latest CDISC SDTM / ADaM standards.
  • QC/validation skills.
  • Ad-hoc reporting skills.
  • Proficiency in Efficacy analysis.
  • Familiarity with drug development life cycle and experience with clinical trials' data manipulation, analysis and reporting.

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