Clinical Data Scientist

AstraZeneca; India; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

AstraZeneca is seeking a Clinical Data Scientist (Career Level C) to join our hybrid team in Bangalore. The role focuses on building and maintaining centralized monitoring capabilities that power risk-based quality oversight across global studies in cardiovascular, renal, respiratory and immunology areas.

The ideal candidate has 3–6 years of experience with R or Python in biomedical settings, strong English communication, and a collaborative mindset to grow from components to end-to-end CM

Qualifications

• Experience with R or Python in clinical or scientific environments.
• Basic programming knowledge in data analysis languages.
• Strong written and spoken English communication.

Responsibilities

• Configure and maintain Centralised Monitoring environments for new and ongoing studies.
• Enable CM support for new studies by configuring data sources and workspaces.
• Develop and maintain lower-complexity CM functionalities under supervision.
• Deliver end-to-end mapping for standard CM functionalities including validation.
• Prepare systems for CM analyses by setting up data sources and ensuring readiness.
• Perform basic system administration across access, change and issue management.
• Create and update CM documentation for audit readiness and knowledge transfer.
• Collaborate with Data Scientists to scale best practices across studies.

Skills

Python

R

English communication

Education

BSc/MSc/PhD in Computer Science or related biomedical field

Tools

Power BI

Job description

Clinical Data Scientist

Career Level - C

Location: Manyata Tech Park, Bangalore

Total Experience: 3 to 6 years

Work Type: Hybrid

Introduction to role

Are you ready to turn clinical data into early signals that safeguard patients and speed decisive action in our trials? As a Clinical Data Scientist you will build and maintain the Centralised Monitoring capabilities that power risk-based quality oversight across our global studies-helping deliver better outcomes in areas such as cardiovascular, renal, respiratory and immunology. You will ensure our platforms are always ready for the next study, data sources are correctly configured, and standard features are mapped and validated so analyses run smoothly and reliably. Working alongside experienced CM Data Scientists, you'll translate study needs into standard and lightweight bespoke functionalities, steadily growing from delivering components to owning end-to-end solutions. Do you see yourself shaping robust CM systems that clinicians, statisticians and study teams rely on every day?

Accountabilities

• CM System Readiness: Configure and maintain Centralised Monitoring environments so they are continuously ready to support new and ongoing studies, ensuring secure access, stable integrations and compliant operation.
• Study Onboarding: Enable CM support for new studies by configuring data sources, establishing workspaces and repositories, and ensuring the right data arrives in the right place at the right time.
• Functionality Development: Under supervision, develop and maintain lower-complexity CM functionalities by gathering requirements, programming, testing and producing complete documentation-contributing features that improve detection of issues and drive timely interventions.
• Standard Feature Mapping: Deliver elements of, or full end-to-end mapping for, standard CM functionalities including programming, testing, validation and documentation, increasing reuse and accelerating study start-up.
• Analysis Enablement: Prepare systems for execution of CM analyses for assigned studies by setting up and maintaining data sources and ensuring environments are analysis-ready.
• Operational Administration: Perform basic system administration across access management, change management and issue management, with clear traceability and timely resolution to keep studies moving.
• Documentation and Compliance: Create and update CM system documentation, ensuring all configurations, validations and changes are accurately recorded for audit readiness and knowledge transfer.
• Collaboration and Support: Work closely with Data Scientists within CM, contributing to shared standards, troubleshooting data and configuration issues, and scaling good practices across studies.

Essential Skills/Experience

• Candidates should have a BSc, MSc, or PhD or equivalent experience in Computer Science or Information Science related to the biomedical field. They must have experience in R or Python programming language and applying information and knowledge management in clinical or scientific environments. Equivalent education and experience combinations will be considered.
• Basic knowledge of at least one programming language used for data analysis or demonstrated ability/capabilities to acquire such skills in a reasonable timeframe
• Good communication skills in both written and spoken English
• Team player

Desirable Skills/Experience

• Basic knowledge of R is an advantage
• Previous experience with at least one BI platform is an advantage
• Previous experience in life science and clinical studies is an advantage

Why AstraZeneca

Join a company pairing scientific depth with modern data and technology to reshape how care is delivered for patients worldwide. Here, you will work at pace with supportive peers who share ideas openly-imagine clinicians, developers and data scientists around the same table, turning insights into action. We bring the scale and resources to tackle big challenges and the agility to test, learn and move fast. Your craft will grow through feedback, coaching and real responsibility, and your work will be felt in the clinic as we advance medicines across major disease areas. We value kindness alongside ambition and empower you to own outcomes that matter.

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.