Nisha Gupta

verified-iconBiostatistician II

Biostatistician II

Nisha Gupta is a Biostatistician with 7+ years of experience in clinical research and statistical programming across Phase I–III clinical trials, bioequivalence, pharmacokinetics, and in-vitro studies. Skilled in SAP development, randomization, and statistical modeling using SAS and Phoenix WinNonlin, she delivers regulatory-compliant statistical outputs and datasets aligned with CDISC standards (SDTM/ADaM). Nisha collaborates closely with cross-functional teams, leads statistical programming activities, and ensures the accuracy and reliability of analysis results for global clinical studies.

FORMERLY AT

IQVIA RDS (India) Pvt. Ltd.

LOCATION

Bengaluru, India

AVAILABILITY

Full Time

Skills

CDISC (SDTM/ADaM)

CDISC Standards

Microsoft Office

MS Office

Phoenix WinNonlin

SAS

Work Experience

Biostatistician II

IQVIA RDS (India) Pvt. Ltd.

March 2022 – Present

  • Develop Statistical Analysis Plans (SAPs), TLF specifications, and dataset requirements.
  • Lead statistical programming activities and guide programming teams.
  • Collaborate with clients to align statistical analysis strategies and study deliverables.
  • Conduct model fitting and perform statistical review of reports and outputs.

TECHNOLOGIES

SAS, CDISC (SDTM/ADaM), Microsoft Office

Senior Executive – Biostatistics

Aleor Dermaceuticals (Alembic Group)

August 2020 – February 2022

  • Conducted statistical analysis for topical product studies including IVRT, IVPT, and vasoconstrictor assessments.
  • Managed SAP creation, protocol development, mock shells, and randomization for BA/BE studies.
  • Reviewed and validated pharmacokinetic analyses and clinical statistical reports.

TECHNOLOGIES

SAS, Phoenix WinNonlin, CDISC Standards

Executive – Biostatistics

Clians Labs Pvt. Ltd.

December 2018 – August 2020

  • Performed in vitro/in vivo bioequivalence and clinical endpoint analyses.
  • Applied mixed models, regression, and survival analysis in SAS. .
  • Supported study design and provided statistical input to cross-functional study teams.

TECHNOLOGIES

SAS, Phoenix WinNonlin, MS Office

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