Clinical Data Analyst

Jobgether; India; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Jobgether is partnering with a client in India to hire a Clinical Data Analyst. The role focuses on managing clinical trial data, ensuring accuracy and readiness for regulatory objectives, and supporting database testing and study activities.

You will work with cross-functional teams, mentor junior analysts, and contribute to process improvements while upholding ICH-GCP standards and data quality.

Qualifications

• Bachelor’s degree in Life Sciences, Pharmacy, Biotechnology, Nursing, or related discipline.

Responsibilities

• Extract, clean, validate, and reconcile clinical trial data from multiple sources.
• Manage clinical data queries and support database lock activities.
• Review data listings to identify inconsistencies and resolve discrepancies.
• Support DM documentation and study-related records.
• Conduct UAT for clinical database configurations.
• Review CRFs and EDC screens to support data management.
• Track CRFs and support data entry activities.
• Ensure DM activities comply with SOPs, regulatory requirements, ICH-GCP, and industry standards.
• Collaborate with cross-functional study teams and client stakeholders.
• Contribute to study start-up and other clinical data management activities.
• Mentor junior data analysts and share knowledge.
• Identify opportunities to improve processes and data quality.

Skills

Clinical data management

Data cleaning

Query management

UAT testing

Mentoring

Cross-functional collaboration

Education

Bachelor's degree in Life Sciences/Bio/Related

Tools

Medidata Rave

Veeva

DataLabs

ClinBase

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Clinical Data Analyst based in India.

This role supports the management and quality of clinical trial data throughout the clinical research lifecycle. You will extract, clean, validate, and reconcile data from multiple sources to ensure accuracy, consistency, and readiness for regulatory and research objectives. The position combines clinical data management expertise with technical analysis, quality control, and study support. You will collaborate with cross-functional teams and client stakeholders while contributing to database testing, query management, and database lock activities. Strong attention to detail and knowledge of clinical research standards are essential to maintaining reliable, high-quality trial data. The role also provides opportunities to mentor junior analysts and contribute to process improvements and evolving data management practices. This is an impactful opportunity to help ensure the integrity of clinical data supporting the development of therapies that can ultimately benefit patients.

Accountabilities:

• Extract, clean, validate, and reconcile clinical trial data from multiple sources to identify and resolve discrepancies and maintain high data quality.
• Manage clinical data queries and provide support throughout database lock activities.
• Review manual and system-generated data listings to identify inconsistencies, investigate discrepancies, and coordinate appropriate resolution.
• Support the preparation, maintenance, and organization of Data Management documentation and study-related records.
• Conduct User Acceptance Testing (UAT) for clinical database configurations and setups.
• Review study protocols, Case Report Forms (CRFs), and Electronic Data Capture (EDC) screens when required to support effective data management.
• Track CRFs and provide support for data entry activities as needed.
• Ensure clinical data management activities comply with applicable SOPs, regulatory requirements, ICH-GCP guidelines, and industry standards.
• Collaborate with cross-functional study teams and client stakeholders to support study delivery and data quality objectives.
• Contribute to study start-up support and other clinical data management activities as required.
• Mentor junior data analysts, share knowledge, and contribute to team capability development.
• Identify opportunities to improve processes, data quality, efficiency, and clinical data management practices.

Requirements

• Bachelor’s degree in Life Sciences, Pharmacy, Biotechnology, Nursing, or a related discipline.
• Relevant professional experience in Clinical Data Management or the Clinical Research industry.
• Hands‑on experience with Clinical Data Management Systems such as Medidata Rave, Veeva, DataLabs, ClinBase, or similar platforms.
• Strong understanding of clinical data management processes, including data cleaning, validation, query management, reconciliation, and database lock activities.
• Knowledge of clinical coding dictionaries such as MedDRA and WHODrug.
• Basic knowledge of SAS and CDISC standards.
• Good understanding of ICH‑GCP guidelines, clinical research regulations, and applicable industry standards.
• Strong analytical and problem‑solving abilities, with a structured approach to identifying and resolving data discrepancies.
• Exceptional attention to detail and a strong commitment to data quality and accuracy.
• Excellent written and verbal communication skills, with the ability to collaborate effectively across cross‑functional teams.
• Strong time management and prioritization skills, with the ability to manage multiple activities and deadlines.
• Ability to work independently while contributing effectively within collaborative study teams.
• Adaptability and willingness to learn new technologies, systems, and clinical data management processes.

Benefits

• Opportunities to work on clinical research and data management activities with meaningful impact on healthcare and patient outcomes.
• Exposure to clinical data management systems, regulatory standards, and industry‑leading practices.
• Collaborative environment involving cross‑functional study teams and client stakeholders.
• Opportunities to mentor junior colleagues and contribute to process improvement initiatives.
• Professional development through exposure to evolving technologies and clinical research processes.
• The source posting does not specify a salary range, healthcare coverage, leave policy, remote‑work arrangement details, or additional benefits.