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PRINCIPAL PROGRAMMER

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Onsite

PRINCIPAL PROGRAMMER

Medtek Dot Ai

PRINCIPAL PROGRAMMER

3 years ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • . Strong proficiency implementing the latest CDISC SDTM / ADaM standards
  • Bachelor or Master (preferred) Degree in Statistics,Mathematics,Bio informatics and Computer Science
  • Minimum 8 years relevant experience in a pharmaceutical,biotech,CRO,or Regulatory Agency
  • . Strong SAS data manipulation,analysis and reporting skills- with strong output programming experience

Key Responsibilities:

  • Hands on programming role, supporting deliverables in the study / project / portfolio / standards team, of medium or high complex statistical programming deliverables.

  • Strong SAS data manipulation, analysis and reporting skills- with strong output programming experience.

  • Strong proficiency implementing the latest CDISC SDTM / ADaM standards.

  • Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials data.

  • Development and execution of statistical analysis and reporting deliverables (e.g safety and efficacy analysis datasets, tables, listings, figures).

  • Expertise in the design, development and quality control process for SAS programs used to access, extract, transform, review, analyze and submit clinical data for all requested analyses.

  • Provide technical guidance to other statistical programmers, and ensure training and development of team members.

  • Lead and manage the programming activities for clinical trials, including development of programming plans, specifications, and programming datasets.

Qualification;

  • Bachelor or Master (preferred) Degree in Statistics, Mathematics, Bio informatics and Computer Science.

  • Minimum 8 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.

  • In-depth knowledge of clinical trial design, statistical analysis, and regulatory guidelines.

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