Welcome Back

Google icon Sign in with Google
OR
I agree to abide by Pharmadaily Terms of Service and its Privacy Policy

Create Account

Google icon Sign up with Google
OR
By signing up, you agree to our Terms of Service and Privacy Policy
Instagram
youtube
Facebook

Senior Statistical Programmer Ii

ICON
2+ years
Not Disclosed
Bangalore, India
1 June 4, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill

Senior Statistical Programmer II

Job Title: Senior Statistical Programmer II
Location: Bangalore, India
Work Model: Office or Home (Hybrid/Remote Eligible)
Employment Type: Full-Time
Job Requisition ID: JR151832
Company: ICON plc


About ICON

ICON is a global healthcare intelligence and clinical research organization dedicated to accelerating the development of innovative medicines and therapies that improve patient outcomes worldwide.

Driven by the values of Integrity, Collaboration, Agility, and Inclusion, ICON fosters a culture where employees contribute to meaningful scientific advancements while growing their careers in a supportive environment.


Position Overview

ICON is seeking an experienced Senior Statistical Programmer II to join its Biometrics and Statistical Programming team. In this role, you will be responsible for the development, validation, and maintenance of statistical programming deliverables supporting clinical trials and regulatory submissions.

You will collaborate closely with biostatisticians, data managers, clinical teams, and regulatory stakeholders to ensure the delivery of accurate, compliant, and high-quality statistical outputs. Additionally, you will provide technical mentorship and guidance to junior programmers while contributing to process improvements and best practices across the organization.


Key Responsibilities

Statistical Programming

  • Design, develop, validate, and maintain SAS programs for:

    • Clinical trial analyses

    • Statistical reporting

    • Data listings

    • Summary tables

    • Figures and outputs

  • Create efficient and reusable programming solutions to support study deliverables.

  • Ensure programming activities align with project timelines and quality expectations.


Clinical Trial Data Analysis

  • Collaborate with biostatisticians to implement statistical analysis plans (SAPs).

  • Apply appropriate statistical methodologies to support clinical research objectives.

  • Generate analysis datasets and reporting outputs for clinical studies.

  • Support interpretation and presentation of clinical trial data.


Quality Control & Compliance

  • Perform quality control (QC) reviews of statistical programming outputs.

  • Validate datasets, tables, listings, and figures (TLFs).

  • Ensure compliance with:

    • CDISC standards (where applicable)

    • Regulatory requirements

    • Industry best practices

    • Company SOPs and quality standards

  • Identify and resolve data inconsistencies and programming issues.


Regulatory Submission Support

  • Contribute to the preparation of statistical deliverables for:

    • Regulatory submissions

    • Clinical study reports (CSRs)

    • Integrated summaries

    • Health authority requests

  • Ensure all submission-ready outputs meet regulatory expectations and quality standards.


Leadership & Mentorship

  • Mentor and support junior statistical programmers.

  • Provide technical guidance on SAS programming techniques and standards.

  • Share programming best practices and contribute to team capability development.

  • Assist in reviewing programming deliverables and providing constructive feedback.


Process Improvement

  • Participate in the development and enhancement of programming standards and workflows.

  • Promote automation and efficiency in statistical programming processes.

  • Support continuous improvement initiatives within the Biometrics function.


Required Qualifications

Education

Bachelor’s Degree in:

  • Statistics

  • Computer Science

  • Mathematics

  • Biostatistics

  • Data Science

  • Related Quantitative or Scientific Discipline


Experience

  • Significant experience in statistical programming within:

    • Clinical Research Organizations (CROs)

    • Pharmaceutical companies

    • Biotechnology organizations

  • Proven experience supporting clinical trial data analysis and reporting.

  • Experience working on multiple studies and managing concurrent priorities.

  • Experience supporting regulatory submissions is preferred.