Senior Statistical Programmer

1 week ago

Kota, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview:

Pharmaceutical Data Analyst Role

A pharmaceutical data analyst will collaborate with clients in the pharmaceutical industry, utilizing advanced programming skills and expertise in clinical trials data analysis to support or lead one or more Phase I-IV clinical trials.

This role involves manipulating, analyzing, and reporting clinical trial data, utilizing SAS programming. The candidate will generate and validate datasets/analysis files, tables, listings, and figures (TLFs), as well as produce and QC/validation programming. Additionally, they will create and review submission documents and eCRTs, communicate with internal cross-functional teams and the client regarding project specifications, status, issues, or inquiries.

The ideal candidate will have experience working with clinical trial data in the Pharmaceutical & Biotech industry, proficiency in CDISC SDTM / ADaM standards, strong SAS data manipulation, analysis, and reporting skills, and excellent analytical and troubleshooting skills.

Responsibilities:

  • Manipulate, analyze, and report clinical trial data, both safety and efficacy, utilizing SAS programming.
  • Generate and validate SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs).
  • Produce and QC/validation programming.
  • Create and review submission documents and eCRTs.
  • Communicate with internal cross-functional teams and the client regarding project specifications, status, issues, or inquiries.

Qualifications:

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field.
  • At least 7 years of SAS programming experience working with clinical trial data in the Pharmaceutical & Biotech industry, or equivalent.
  • Study lead experience, preferably juggling multiple projects simultaneously.
  • 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 is a plus.
  • Excellent analytical and troubleshooting skills.
  • Ability to provide quality output and deliverables within challenging timelines.

Benefits:

  • Apply scientific rigor to reveal the full promise inherent in data.
  • Nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
  • Collaborate and invite diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
  • Prize innovation and seek intelligent solutions using leading-edge technology.

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