Senior Statistical Programmer I

Title: Senior Statistical Programmer I

• Career Level – D

• Location: Manyata Tech Park, Bangalore

• Work Type: Hybrid

About AstraZeneca:

AstraZeneca is a global, science-led, patient-focused pharmaceutical company that focuses on the research, development, and commercialisation of prescription medicines. We aim to transform the lives of patients with improved outcomes and a better quality of life. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we 're dedicated to being a Great Place to Work.

Introduction to role:

Are you ready to turn world-class programming into decisions that bring medicines to patients faster? As a Senior Statistical Programmer I, you will lead study and project-level programming that underpins clinical evidence, regulatory submissions and safety insights, translating complex protocols into reliable, inspection-ready outputs.

You will own delivery for clinical studies, orchestrating SAS, R and Python code and using AI-enabled solutions to scale quality and speed. Your judgement will set standards, your mentorship will lift others, and your work will influence protocol design, analysis choices and how results are communicated. Do you see yourself shaping best of industry practices in a dynamic environment while delivering tangible results for clinicians, regulators and patients?

We thrive in an environment where unknowns are common and change is constant. You will combine rigor with curiosity, navigating a rules-focused setting while finding inventive routes to get the right work done, at pace & with purpose.

Accountabilities:

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

Essential Skills/Experience:

- Bachelors in Mathematics (i.e., Applied Math, Engineering, etc), 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

Desirable Skills/Experience:

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

Why AstraZeneca:

Here, your code becomes evidence that changes lives. You will collaborate with diverse experts who challenge and support each other, bringing different perspectives into the same room to spark bold thinking and better solutions. With access to modern tooling, AI-assisted workflows and enterprise-scale data, you will deepen your craft while influencing decisions across multiple therapy areas. We value kindness alongside ambition, and we recognize outcomes, learn from setbacks and give you the freedom to improve processes that matter—so your impact is both immediate and enduring for patients worldwide.

Call to Action:

Bring your SAS, R, Python and AI skills to a team where your programming shapes pivotal evidence—step in and help accelerate life-changing medicines today!

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Date Posted
19-Oct-2026

Closing Date
25-Oct-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.