Senior Statistical Programmer

Cytel

India

Remote

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

A leading pharmaceutical company is seeking a Senior Statistical Programmer to leverage advanced SAS skills for supporting and leading clinical trials. The successful candidate will have a Bachelor’s degree and at least 8 years of specialized experience in SAS programming and clinical trial data analysis. Responsibilities include data manipulation, analysis, and reporting as well as generating SDTM/ADaM datasets. This position offers a full-time role with opportunities for collaboration in a diverse team environment, and it can be performed remotely.

Qualifications

  • Minimum 8 years of SAS programming experience in the Pharma/Biotech industry.
  • Strong background in data analysis and reporting.
  • Experience submitting clinical trial data.

Responsibilities

  • Manipulate, analyze, and report clinical trial data using SAS.
  • Generate and validate datasets/files for clinical trials.
  • Communicate with cross-functional teams and clients.

Skills

SAS data manipulation
Clinical trial data analysis
Experience with CDISC standards
Efficacy analysis
Analytical & troubleshooting skills

Education

Bachelor’s degree in Statistics, Computer Science, Mathematics

Job description

Position Overview

As a Senior Statistical Programmer, you will leverage advanced SAS programming skills, 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.

Our values
  • We believe in applying scientific rigor to reveal the full promise inherent in data.
  • We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
  • We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
  • We prize innovation and seek intelligent solutions using leading‑edge technology.
Responsibilities
  • Perform data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming.
  • Generate and validate SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs).
  • Production and QC/validation programming.
  • Generate complex ad‑hoc reports utilizing raw data.
  • Apply strong understanding/experience of efficacy analysis.
  • Create and review submission documents and eCRTs.
  • Communicate with and/or respond to internal cross‑functional teams and client for project specifications, status, issues or inquiries.
  • Perform lead duties when called upon.
  • Serve as team player, willing to go the extra distance to get results, meet deadlines, etc.
  • Be adaptable and flexible when priorities change.
Qualifications
  • Bachelor’s degree in one of the following fields: Statistics, Computer Science, Mathematics, etc.
  • At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
  • 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.
  • 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.
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function
  • Health Care Provider, Research, and Information Technology
Industries
  • Biotechnology Research, Hospitals and Health Care, and Pharmaceutical Manufacturing
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