Chief Data Analyst

1 day ago

Hyderabad, Telangana, India beBeeStatistical Full time ₹ 1,20,00,000 - ₹ 1,60,00,000

Senior Statistical Programmer Job Description

Job Overview

We are seeking a highly skilled Senior Statistical Programmer to join our team. As a key member of our global pharmaceutical clients' innovation team, you will be responsible for leveraging advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead Phase I-IV clinical trials.

This is an exciting opportunity to be at the heart of drug development life cycles and clinical trials data manipulation. You will work fully embedded within our client's organization with the support of our team behind you.

Responsibilities
  • Data manipulation, analysis, and reporting of clinical trial data using SAS programming.
  • Generating and validating SDTM and ADaM datasets/analysis files, tables, listings, and figures.
  • Production and QC/validation programming.
  • Generating complex ad-hoc reports from raw data.
  • Applying strong understanding/experience of Efficacy analysis.
  • Creating and reviewing submission documents and eCRTs.
  • Communicating with cross-functional teams and clients for project specifications, status, issues, or inquiries.
  • Performing lead duties when called upon.
Qualifications
  • A Bachelor's degree in Statistics, Computer Science, Mathematics, or related fields.
  • At least 7 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry.
  • Study lead experience, preferably managing multiple projects simultaneously.
  • Strong SAS data manipulation, analysis, and reporting skills.
  • Solid experience implementing CDISC SDTM / ADaM standards.
  • Strong QC/validation skills.
  • Good ad-hoc reporting skills.
  • Proficiency in Efficacy analysis.
  • Familiarity with drug development life cycles and clinical trials data manipulation.
  • Submissions experience using define.xml and other submission documents.
  • Experience supporting immunology, respiratory, or oncology studies would be beneficial.
  • Excellent analytical and troubleshooting skills.
  • Ability to deliver quality output and meet challenging timelines.

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