Lead Data Analyst

5 days ago

Bikaner, Rajasthan, India beBeeStatistical Full time ₹ 18,00,000 - ₹ 21,00,000
Senior Statistical Programmer

You will be working in a sponsor-dedicated role, fully embedded within a global pharmaceutical client. This is an exciting time to be a part of this new program.

Job Overview:

As a Senior Statistical Programmer, you will leverage your 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.

Key Responsibilities:

  • 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.
  • Applying strong understanding/experience of Efficacy analysis.
  • Creating and reviewing submission documents and eCRTs.
  • Communicating with internal cross-functional teams and clients for project specifications, status, issues, or inquiries.

Qualifications:

To be successful in this position, you will have:

  • A Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field.
  • At least 7 years of SAS programming experience working with clinical trial data in the Pharmaceutical & Biotech industry, with a Bachelor's degree or equivalent. At least 5 years of related experience with a Master's degree or above.
  • Study lead experience, preferably juggling multiple projects simultaneously preferred.
  • Strong SAS data manipulation, analysis, and reporting skills.
  • Solid experience implementing the latest CDISC SDTM / ADaM standards.
  • Strong QC/validation skills.
  • Good ad-hoc reporting skills.
  • Proficiency in Efficacy analysis.
  • Familiarity with drug development life cycle and experience with the manipulation, analysis, and reporting of clinical trials' data.
  • Submissions experience utilizing define.xml and other submission documents.
  • Experience supporting immunology, respiratory, or oncology studies would be a plus.
  • Excellent analytical & troubleshooting skills.
  • Ability to provide quality output and deliverables, in adherence with challenging timelines.
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.

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