Instagram
youtube
Facebook

Principal Statistical Programmer

6+ years
Not Disclosed
10 Sept. 30, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Principal Statistical Programmer

🌍 Available Locations: 3 (Specific sites not listed)
🏢 Category: Clinical
🆔 Job ID: 25189


Job Summary

The Principal Statistical Programmer serves as the Lead Programmer responsible for planning, execution, and oversight of statistical programming activities across clinical studies.
This includes SDTM/ADaM dataset development, TFL generation, QC review, and regulatory submission deliverables, while ensuring compliance, efficiency, and adherence to timelines and budgets.


Key Responsibilities

🎯 Leadership & Study Oversight

  • Serve as Lead Statistical Programmer on assigned studies.

  • Oversee end-to-end programming activities including:

    • Resource estimation

    • Budget tracking

    • Timelines & deliverable management

    • Cross-functional coordination with Biostatistics, Data Management, and other departments

    • Client communication and updates

💻 Programming & Development

  • Develop and maintain SAS® programs for:

    • SDTM (Study Data Tabulation Model) datasets

    • ADaM (Analysis Data Model) datasets

    • TFLs (Tables, Listings, and Figures)

  • Perform Quality Control (QC) reviews of SDTMs, ADaMs, and TFLs to ensure accuracy and compliance.

📑 Regulatory Submission Deliverables

  • Generate and maintain:

    • Define.xml / Define.pdf

    • Analysis Results Metadata (ARM)

    • Annotated CRFs (aCRFs)

    • Reviewer’s Guides (SDTM & ADaM)

  • Ensure all outputs meet CDISC and regulatory submission requirements.

🧩 Standards & Specifications

  • Develop or lead the development of complex dataset specifications (SDTM & ADaM).

  • Contribute to enhancement and maintenance of Fortrea and Client Programming Standards.

  • Review Statistical Analysis Plans (SAPs) and TFL shells, providing programming perspective and recommendations.

👥 Mentorship & Training

  • Mentor junior programmers, ensuring adherence to departmental processes and industry standards.

  • Lead knowledge-sharing sessions and departmental presentations.

📈 Quality & Audits

  • Respond to Quality Assurance (QA) and Client Audits.

  • Support qualification audits and ensure compliance with internal SOPs and external regulatory expectations.

💡 Business Development & Process Improvement

  • Contribute to proposal development and bid defense meetings to support business growth.

  • Identify and recommend process improvements to enhance efficiency, quality, and productivity within programming operations.

🔄 Additional Responsibilities

  • Perform any other duties as assigned to meet project and organizational goals.


Minimum Qualifications

🎓 Education:

  • Bachelor’s Degree (preferred in Mathematics, Statistics, Computer Science, Life Sciences, Health Sciences, or related field).

  • Equivalent education and relevant work experience may be considered in lieu of formal degree.

🗣️ Language Proficiency:

  • English (Speaking, Reading, Writing): Required


Experience Requirements

✅ Minimum 6 years of SAS® programming experience in CRO or Pharmaceutical industry, or equivalent combination of education and experience.
✅ Proven experience as Lead Statistical Programmer on complex clinical studies.
✅ Strong understanding of clinical trial lifecycle from setup to closeout.
✅ Deep knowledge of CDISC standards, including:

  • SDTM

  • ADaM

  • Define.xml

  • Reviewer’s Guide

  • Submission standards


Core Competencies

  • Advanced SAS® programming skills

  • Strong leadership and mentoring abilities

  • Comprehensive CDISC and regulatory submission knowledge

  • Excellent communication and cross-functional collaboration

  • Detail-oriented with focus on data integrity and quality

  • Capable of managing multiple studies simultaneously


Work Environment & Travel

🏢 Work Setup: Office-based or Home-based (as per Line Manager direction)
✈️ Travel Requirements:

  • Yes – Local, Domestic, Regional, Global

  • Time Allocation: ~5%

  • Overnight Travel: Up to 100% of travel time

  • Purpose: Client meetings, training sessions, and project reviews


Equal Opportunity Statement

We are an Equal Opportunity Employer and committed to providing reasonable accommodations as required.

📎 Learn more about our EEO & Accommodation Policy [here].