Senior Statistical Programmer I

Overview

Lead study and project-level statistical programming that underpins clinical evidence, regulatory submissions and safety insights, using SAS, R and Python, including AI-enabled solutions.

What you'll do

• Lead programming deliveries for clinical studies and small to medium, complex projects, meeting scope, timelines and quality commitments.
• Implement the statistical programming aspects of protocols and clinical development programs so analyses answer the right questions and meet regulatory expectations.
• Build high quality into your own outputs and the work of others through reviews, robust testing and continuous feedback.
• Program independently with high efficiency and quality across datasets, analyses and reporting.
• Write clear specifications and ensure completeness of relevant documentation for traceability and inspection readiness.
• Contribute to or drive best of industry practices that improve quality, efficiency and effectiveness within the function.
• Ensure compliance with standards and improve automation usage, including AI-enabled approaches where appropriate.
• Plan and lead team activities and tasks, aligning resources, removing blockers and forecasting needs.
• Identify, manage and communicate risks across assigned studies and projects, enabling timely decisions and course correction.
• Work proactively with statisticians, lead programmers, data managers and study leaders to align on priorities and deliverables.
• Work cooperatively with contract programming providers, setting expectations, reviewing outputs and ensuring timely delivery.
• Provide subject matter expertise on programming-related items to influence and shape outcomes.
• Participate in or lead technical initiatives that raise capability across tools, standards and automation.
• Apply project management practices to plan, track and deliver programming aspects of drug or technical projects.

What you'll need

• Bachelor's in Mathematics (e.g., Applied Math, Engineering), Statistics, Computer Science, Life Science or equivalent.
• Minimum of 6 years experience in clinical statistical programming.
• Excellent SAS programming skills including macro language.
• Demonstrated experience in R programming.
• Experience in Python programming.
• Ability with AI-enabled solutions, such as developing or working with AI agents.
• Proficient knowledge of the clinical development process.
• Thorough knowledge of industry standards.
• Ability to apply programming knowledge to problem solving.
• Ability to manage relevant documentation.
• Ability to influence on programming related items.

Nice to have

• Ability to proactively manage concurrent activities within a study or part of a project.

Details

• Location: Manyata Tech Park, Bangalore, India.
• Work type: Hybrid, with a minimum of three days per week from the office on average.