Eli Lilly and Company is hiring a Clinical Data Manager for its Clinical Data Sciences function in Bengaluru, India. The role involves managing clinical trial data throughout the study lifecycle, including study setup, data collection, data validation, data review, database lock, and regulatory submission.
Candidates with a master’s or professional degree in Pharmacy, Health and Life Sciences, or a related field, along with at least two years of experience in Clinical Data Management, are eligible to apply.
Job Details
| Particulars | Details |
|---|---|
| Company | Eli Lilly and Company |
| Job Title | Clinical Data Manager |
| Department | Clinical Data Sciences |
| Job Location | Bengaluru, Karnataka, India |
| Job Type | Full-time |
| Experience | 2+ years in Clinical Data Management |
| Qualification | Master’s/Professional degree in Pharmacy, Health and Life Sciences, or a related field |
| Job Requisition ID | R-109207 |
| Application Deadline | October 17, 2026 |
Position
Clinical Data Manager
The Clinical Data Manager will support the delivery of accurate, complete, and regulatory-compliant clinical trial data. The position involves coordinating clinical data management activities, working with cross-functional teams, overseeing external vendors, and ensuring timely delivery of study milestones.
Key Responsibilities
- Manage clinical data activities across study setup, conduct, and closure.
- Ensure clinical data completeness, accuracy, integrity, and quality.
- Oversee data acquisition, database design, validation, review, medical coding, and dataset delivery.
- Coordinate integration of data from laboratories, electronic Clinical Outcome Assessments (eCOA), imaging, and biomarker sources.
- Drive study milestones, including clean file readiness and database lock timelines.
- Identify, track, and resolve data quality issues with internal teams and external stakeholders.
- Contribute to clinical data management strategies at the study or program level.
- Monitor vendor performance, resolve issues, and support continuous improvement.
- Support inspection readiness, audits, regulatory submissions, and responses.
- Ensure compliance with clinical data standards, SOPs, ICH-GCP, and applicable global regulations, including FDA and MHRA requirements.
- Collaborate with Clinical Operations, Biostatistics, Medical, Programming, and Data Science teams.
- Improve data management processes to enhance data quality and operational efficiency.
- Support knowledge sharing, capability development, and cross-functional initiatives.
Eligibility and Qualifications
Candidates applying for the Clinical Data Manager position at Eli Lilly must meet the following requirements:
- A master’s or professional degree in Pharmacy, Health and Life Sciences, or a related field.
- At least 2 years of experience in Clinical Data Management.
- Relevant experience in clinical drug development.
- A strong understanding of clinical trial methodology, Good Clinical Practice (GCP), and medical terminology.
- Knowledge of clinical data lifecycle processes and data standards.
- Familiarity with clinical data management systems and technologies.
- The ability to collaborate with stakeholders and deliver results.
Required Skills and Preferred Experience
The following skills and experience are relevant to this position:
- End-to-end clinical data management and clinical data flow.
- Clinical database design, validation, data review, and medical coding.
- Data quality management and database lock activities.
- Vendor management and external partner oversight.
- Inspection readiness and regulatory submission support.
- Integration of complex data sources, including eCOA, imaging, and biomarkers.
- Understanding of analysis-ready dataset delivery.
- Experience across studies, programs, compounds, or therapeutic areas.
- Knowledge of industry practices, including SCDM standards.
- Adjudication coordination, data archiving, and system decommissioning.
- Strong communication, analytical, and project management skills.
- Process improvement, stakeholder influence, and cross-functional collaboration.
Willingness to travel based on business needs is also required.


