TL;DR

Senior Principal R Programmer Consultant: Lead clinical trial data analysis, reporting, and visualization using SAS, R, and Power BI with an accent on regulatory compliance and data-driven insights. Focus on designing interactive dashboards, ensuring CDISC standards, and mentoring junior programmers.

Location: Remote, based in India

Company

%hirify_global% is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies.

What you will do

Develop and maintain analysis datasets and TLFs using SAS and R for clinical trial reporting.
Design and implement data visualization dashboards in Power BI to support clinical teams.
Collaborate with biostatistics, data management, and clinical operations teams for accurate deliverables.
Contribute to programming standards, macros, templates, and documentation.
Review study protocols, CRFs, and SAPs to align data reporting and visualization.
Lead programming activities for regulatory submissions and provide mentorship to junior staff.

Requirements

Must be based in India.
Bachelor’s or Master’s degree in Computer Science, Statistics, Life Sciences, or related field.
5+ years of clinical programming experience in pharmaceutical, biotech, or CRO environments.
Expert-level SAS and strong R programming skills, including Power BI dashboard development.
Knowledge of CDISC SDTM and ADaM standards and regulatory submission requirements (FDA, EMA).
Strong analytical, problem-solving, and organizational skills with ability to work independently.

Culture & Benefits

Supportive culture with focus on quality and professional development.
Global company with over 4,000 professionals across multiple continents.
Commitment to diversity, inclusivity, and low turnover rates.
Continuous training and career growth opportunities.

Hiring process

Submit CV and receive acknowledgement.
Phone interview as the first step if requirements are met.
No individual feedback if not successful due to volume of applications.