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Pharmacometrics \ Senior Statistical Programmer (Pk & Nonmem)

Icon Plc
ICON PLC
4-6+ years
Not Disclosed
Remote
10 March 18, 2026
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ 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

Senior Statistical Programmer (Pharmacometrics – PK & NONMEM)

Location: Remote (India – Bangalore, Chennai | UK – Reading, Livingston | South Africa – Johannesburg | Multiple Global Locations)
Job Type: Full-Time | Remote
Company: ICON plc
Job ID: JR144933

About the Role
ICON plc, a global leader in healthcare intelligence and clinical research, is seeking a Senior Statistical Programmer with expertise in Pharmacometrics, Pharmacokinetics (PK), and NONMEM. This role is integral to supporting advanced clinical data analysis and modeling activities, contributing to high-quality statistical outputs and regulatory submissions.

As part of a global team, you will collaborate with biostatisticians and clinical scientists to deliver robust programming solutions, ensuring accuracy, compliance, and efficiency in clinical trial data analysis.

Key Responsibilities

  • Develop, validate, and maintain statistical programs using R for clinical trial data analysis and reporting

  • Perform pharmacokinetic (PK) and pharmacometric analysis using NONMEM

  • Collaborate with biostatisticians to define statistical analysis plans and methodologies

  • Conduct quality control checks to ensure accuracy, consistency, and compliance of statistical outputs

  • Support the preparation of statistical reports, publications, and regulatory submission deliverables

  • Optimize programming workflows and contribute to continuous process improvements

  • Ensure adherence to regulatory guidelines and industry standards in all programming activities

Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field

  • Minimum 4–6+ years of experience in statistical programming within clinical research, CRO, or pharmaceutical industry

  • Strong proficiency in R programming for clinical data analysis

  • Mandatory experience in Pharmacokinetics (PK) and NONMEM modeling

  • Solid understanding of statistical methodologies and clinical trial data structures

  • Experience supporting regulatory submissions and reporting requirements

  • Excellent analytical, problem-solving, and data interpretation skills

  • Strong communication skills with the ability to collaborate across global teams

Preferred Skills

  • Experience in pharmacometric modeling and simulation

  • Familiarity with additional tools such as SAS or Python

  • Exposure to global, multi-study clinical trial environments

Why Join ICON
ICON offers a globally collaborative, innovation-driven environment where advanced analytics and pharmacometrics play a key role in accelerating drug development.

Key Benefits Include

  • Competitive salary and global career growth opportunities

  • Fully remote and flexible working model

  • Generous leave policies

  • Comprehensive health insurance

  • Retirement and financial planning benefits

  • Global Employee Assistance Programme (24/7 support)

  • Life insurance and wellness initiatives

  • Flexible, country-specific employee benefits

Diversity, Equity & Inclusion
ICON is committed to building a diverse and inclusive workplace. All qualified applicants will receive equal consideration without discrimination.

Application Note
Candidates who may not meet all listed requirements are encouraged to apply. ICON values diverse skill sets and supports continuous professional development.

This role is ideal for experienced statistical programmers and pharmacometricians seeking to advance their careers in PK modeling, NONMEM analysis, and global clinical trial data science within a leading CRO.