Novartis is hiring for three Clinical Data Scientist positions in Hyderabad and Mumbai: Expert Clinical Data Scientist, Principal Clinical Data Scientist, and Senior Principal Clinical Data Scientist. These are full-time office-based opportunities focused on clinical data management, data quality, data governance, clinical trial delivery, and cross-functional collaboration within clinical development.
Candidates with experience in clinical data management, data review, data quality, data governance, and clinical trial operations can review the position-specific requirements and apply through the official Novartis careers portal.
Novartis Recruitment 2026: Job Details
| Job Detail | Information |
|---|---|
| Company | Novartis |
| Job Category | Clinical Data Management / Clinical Data Science |
| Total Positions | 3 |
| Job Locations | Hyderabad and Mumbai |
| Work Mode | Office-based |
| Employment Type | Full-time |
| Application Mode | Online |
| Industry | Pharmaceutical / Clinical Development |
1. Expert Clinical Data Scientist
Job Requisition ID: REQ-10089444
Application Deadline: October 23, 2026
Job Description
The Expert Clinical Data Scientist is responsible for clinical data management activities across assigned trials, ensuring quality, cost efficiency, and timely delivery. The role involves working with clinical trial teams and other stakeholders to maintain high-quality clinical data and compliance with applicable regulatory requirements.
Key Responsibilities
- Lead data management activities across assigned clinical trials and act as Trial Data Manager when required.
- Review clinical study protocols and amendments, identifying issues affecting database design, data validation, analysis, and reporting.
- Support study start-up activities, including Data Handling Plans, Data Review Plans, and user acceptance testing (UAT).
- Manage local laboratory setup for clinical databases, where applicable.
- Lead process and training deliverables and maintain compliance with global regulatory requirements.
- Coordinate audit and inspection readiness, quality management, deviations, and corrective and preventive action plans.
- Review clinical trial data, including third-party and local laboratory data, and perform SAE reconciliation where applicable.
- Maintain consistency in data management documentation and program-level standards.
- Generate data listings and study status reports for clinical trial team meetings.
- Support junior staff and contribute to continuous improvement initiatives.
- Coordinate synonym reviews and dictionary version upgrades at trial or program level.
- Maintain effective working relationships with study teams and functional stakeholders.
Eligibility and Qualifications
- Ideally, four years of experience in drug development, including at least three years in Clinical Data Management.
- Ability to work under pressure and demonstrate effective team leadership.
- Strong interpersonal, problem-solving, verbal, and written communication skills.
- Ability to work effectively in a global environment and influence cross-functional stakeholders.
- Ability to interrogate and review data using programming or graphical user interface (GUI) techniques.
Required Skills
Clinical Data Management, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, and Waterfall Model.
2. Principal Clinical Data Scientist
Job Requisition ID: REQ-10089441
Application Deadline: October 19, 2026
Job Description
The Principal Clinical Data Scientist manages clinical data management activities across assigned projects and trials within a clinical program. The position focuses on data management strategy, standardization, data quality, project coordination, and the timely delivery of clinical data management activities.
Key Responsibilities
- Lead functional activities for medium- to large-sized Phase IโIV clinical studies within the Novartis Global Development Organization.
- Coordinate internal and external Data Managers.
- Make data management decisions and propose strategies at study or project level.
- Standardize data management processes and documentation across assigned projects and programs.
- Develop and implement data management solutions and facilitate knowledge sharing.
- Lead process and training deliverables across multiple platforms, franchises, or therapeutic areas.
- Represent Data Operations during audits and inspections, coordinating preparation, readiness, and responses.
- Identify and resolve protocol issues affecting database design, data validation, analysis, and reporting.
- Generate data listings for review and provide them to study teams.
Eligibility and Qualifications
Candidates should have proven experience in:
- Clinical Data Management
- Data Architecture
- Data Governance
- Data Integration
- Data Profiling
- Data Quality
- Data Science and Data Strategy
- Master Data
Strong project management skills, cross-cultural experience, functional breadth in clinical data management, and excellent communication and interpersonal skills are also required.
Required Skills
Clinical Data Management, Data Architecture Development, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Master Data, and Waterfall Model.
3. Senior Principal Clinical Data Scientist
Job Requisition ID: REQ-10089402
Application Deadline: October 23, 2026
Job Description
The Senior Principal Clinical Data Scientist is responsible for managing data management, coding, CDD, and DAP activities across multiple studies, medium- to large-sized projects, or project-level assignments. The role focuses on high-quality clinical data deliverables, regulatory compliance, standardized processes, training, and coordination across clinical development teams.
Key Responsibilities
- Lead functional activities for medium- to large-sized Phase IโIV clinical studies.
- Coordinate internal and external Data Managers.
- Make data management decisions and develop study- or project-level strategies.
- Ensure standardized data management processes and consistent documentation across projects and programs.
- Develop and implement data management solutions and support knowledge sharing.
- Lead process and training deliverables across platforms, franchises, or therapeutic areas.
- Represent Data Operations in audits and inspections, including preparation, readiness, and response.
- Follow and oversee Good Clinical Practice (GCP) requirements and data-handling procedures.
- Participate in reviewing clinical research protocols, reports, and statistical analysis plans.
- Develop scalable, reproducible strategies to support quality deliverables and submission consistency.
Eligibility and Qualifications
Candidates should have proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data.
Additional requirements include:
- Strong project management skills and the ability to manage multiple projects simultaneously.
- Cross-cultural experience and broad functional knowledge of clinical data management.
- Ability to identify and resolve protocol issues affecting database design, data validation, analysis, and reporting.
- Excellent communication and interpersonal skills.
- Proficiency in using data management tools to generate data listings for study teams.
Required Skills
Clinical Data Management, Data Architecture Development, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Master Data, and Waterfall Model.