Senior Clinical Data Scientist I

Job Title: Senior Clinical Data Scientist I

• Career Level – D

• Location: Manyata Tech Park, Bangalore

• Total Experience: 6 to 10 years

• Work Type: Hybrid

Introduction to role:

Are you ready to turn clinical data into decisive signals that elevate trial quality and speed life-changing medicines to patients? As a Senior Clinical Data Scientist I, you will build and evolve Centralized Monitoring (CM) functionalities that power risk-based quality management across our global studies.

Working closely with RbQM (Risks based Quality management) leads and fellow Data Scientists, you will translate study and platform requirements into robust R code, scalable standards and reproducible analyses. Your work will enable informed, timely decisions and consistent delivery across trials and therapeutic areas. Can you see yourself shaping CM standards that scale across studies while guiding others to raise the bar?

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.

Accountabilities:

• CM Capability Development: Design, build and test new standard CM functionalities that drive consistent analytics across studies, from requirement gathering through programming, testing and documentation.

• Study-Specific Analyses: Lead the design and delivery of study-specific CM analyses, coordinating inputs from diverse stakeholders to produce clear, actionable outputs that inform RbQM decisions.

• Data Mapping and Integration: Architect and lead data mappings to CM functionalities, ensuring quality, traceability and fitness for purpose across multiple clinical data sources.

• Maintenance and Subject Matter Expertise: Own the ongoing maintenance of data mappings and study-specific CM analyses so they remain compliant with evolving requirements; act as SME for selected CM functionalities.

• Delivery Leadership: Take responsibility for specific CM deliveries, plan and track progress and lead task execution with other CM staff to meet achievements.

• Guideline and Continuous Improvement: Find opportunities to streamline workflows, strengthen standards and improve reliability; implement practical solutions that raise delivery quality.

• Collaboration and Communication: Partner closely with RbQM leads, data scientists and study teams to clarify needs, explain methods and communicate results in clear, concise English.

• Mentoring and Knowledge Sharing: Contribute to team capability by training and mentoring junior staff and codifying learning into reusable standards and documentation.

Essential Skills/Experience:

• Educational degree (BSc/MSc/PhD) in Life Science, Computer Science or Information Science and 3 years of experience in the application of information and knowledge management in a clinical or scientific setting, or equivalent combination of education and experience

• Has good knowledge of R programming language, or Python programming language, preferably R programming language.

• Good communication skills in both written and spoken English

• Great teammate

• Has basic knowledge of SQL

Desirable Skills/Experience:

• Previous knowledge of at least one BI platform is an advantage

• Previous experience in life science and clinical studies is an advantage

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. To fully experience our collaborative, in‑person environment, candidates who are not based in the job location will need to relocate. In line with our company policy, relocation support is offered for moves within the country, ensuring a smooth transition. Join us in our unique and ambitious world.

Why AstraZeneca:

Here, data science meets the depth of cutting-edge biology to tackle complex disease. You will join a community that pairs curiosity with courage, using digital, data and AI to ask better questions, learn fast and turn insight into therapeutic impact. We bring unexpected teams together—scientists, engineers and clinicians—to spark ideas, test them quickly and scale what works. We invest in advancing disease understanding and predictive approaches, so your work directly shapes smarter trials and better decisions for patients. We value kindness alongside ambition, giving you the tools, collaboration and support to make bold contributions that matter.

Call to Action:

If you are driven to turn clinical data into decisions that accelerate development and improve patient outcomes, seize this opportunity and share your application today.

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

22-May-2026

Closing Date

21-Jun-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.