Associate Director - Statistical Science

Astrazeneca India Private Limited; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

AstraZeneca is seeking a Statistical Science Associate Director in Bangalore with deep expertise in statistics to independently lead and deliver statistical work for complex studies. The role involves directing biometrics work in-house or with CROs to ensure timely, high-quality results.

Requires MSc/PhD in statistics, 5+ years in pharmaceutical development, strong R/SAS skills, and experience with simulations.

Qualifications

• MSc/PhD in Statistics, Biostatistics, or recognised equivalent to stats MSc.
• 5+ years in pharmaceutical development, data analysis and interpretation and experience of program design; Phase III Oncology study preferred.
• Strong knowledge of programming in R and/or SAS.
• Experience in conducting simulations.
• Knowledge of regulatory requirements related to the role.
• Excellent communication and collaboration skills across functions.
• Ability to apply statistical expertise to complex problems.

Responsibilities

• Lead analytics on a project or indication in clinical therapeutic areas.
• Oversee delivery of multiple studies/indications within a project.
• Analyze, interpret, summarize and present results of clinical studies.
• Conduct statistical modelling to predict interim/final event-driven analyses.
• Direct project work with statistics staff and CROs to ensure quality and timely delivery.
• Develop study design options and provide decision support to enable project decisions.
• Investigate novel statistical approaches and modelling.
• Mentor/coaching of statistics staff.

Skills

Statistical analysis

R programming

SAS programming

Simulations

Biostatistics

Communication

Collaboration

Education

MSc in Statistics

PhD in Biostatistics

Tools

R

SAS

Job description

Statistical Science Associate Director

Job Title: Statistical Science Associate Director, Global Career Level: E, Role Type: Individual Contributor, Location: Bangalore, Work Type: Hybrid

About AstraZeneca: AstraZeneca is a global, science‑led, patient‑focused pharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines targeting some of the planet’s most serious diseases. 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: The Statistical Science Associate Director has sufficient experience working as a statistician in the pharmaceutical industry to independently perform and lead statistical work within a project, an indication within a more complex project or complex studies. This individual is able to lead and direct Biometrics work either in‑house or partnering with CROs to ensure delivery to quality and time.

Accountabilities:

• For a project or indication in clinical therapeutic areas
• Leading the delivery and oversight on multiple studies/indication within a project
• Analyze, interpret, summarize and present results of clinical study
• Conduct statistical modelling to predict the timing of interim and final event‑driven analyses in a clinical study
• Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality and time
• Develop study design options and provide high quality decision support to enable the business to make informed decisions about a study or project
• Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation
• Mentor/coach and support the training of statistics staff

Essential Skills/Experience:

• MSc/PhD in Statistics, Biostatistics, or recognised equivalent to stats MSc
• 5+ yrs of experience of pharmaceutical development, data analysis and interpretation and experience of program design; preferably, experienced in designing and executing a Phase III Oncology study
• Strong knowledge of programming in R and/or SAS
• Experienced in conducting simulations
• Knowledge of the technical and regulatory requirements related to the role
• Excellent communication skills and ability to build strong relationships
• Excellent collaboration skills to work across functional boundaries
• Ability to apply statistical expertise to complex problems, with a focus on problem solving and quality.

Why AstraZeneca:

Here, statistical leaders shape the evidence that moves medicines forward. You will work shoulder to shoulder with diverse experts—clinicians, data scientists, and development leaders—bringing different minds into the same room to unlock bold ideas. With strong backing for modern tools and continuous learning, you will be trusted to explore better ways of designing and analyzing trials while staying grounded in what matters most: decisions that improve outcomes for patients. We balance high ambition with support and kindness, recognizing learnings as progress and giving you the platform to make your contribution visible across therapy areas and around the world.

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 align with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Date Posted 06-Oct-2026 Closing Date 30-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.

Experience Level Mid Level