Parexel Hiring Clinical Data Analyst II: Life Sciences, Pharmacy & Biotech Graduates Eligible

Position Summary Parexel, a leading global clinical research organization (CRO), is seeking a detail-oriented Clinical Data Analyst II to join its clinical trial data management team (Job ID: R0000045515). The successful candidate will play a crucial role in managing, analyzing, and validating clinical trial data to ensure regulatory compliance and the achievement of research objectives.

Position Details

Detail	Specification
Position Title	Clinical Data Analyst II
Department	Clinical Data Management
Global Institution	Parexel International (CRO)
Primary Location	India, Bengaluru
Additional Locations	India, Hyderabad; India, Remote
Job ID	R0000045515

Key Responsibilities

Data Validation & Integrity: Perform clinical trial data extraction, cleaning, and reconciliation from diverse sources; review system-generated and manual data listings to identify and resolve discrepancies.
Database Operations: Manage data query workflows and support technical database lock activities in compliance with strict project timelines.
Quality Assurance & Documents: Maintain crucial Data Management documentation and study records; participate in User Acceptance Testing (UAT) for clinical database setups.
Collaboration & Leadership: Review study protocols and CRFs; collaborate effectively with cross-functional study teams and client stakeholders; mentor junior data analysts.

Qualifications & Experience

Academic Background: A Bachelor’s degree in Life Sciences, Pharmacy (B.Pharm), Biotechnology, Nursing, or a relevant scientific discipline.
Professional Experience: Relevant hand-on experience in Clinical Data Management (CDM) or within the core Clinical Research industry is mandatory.

Technical Competencies & Skills

CDM Systems: Experience with Clinical Data Management Systems such as Medidata Rave, Veeva, DataLabs, or similar platforms.
Regulatory Framework: Strong understanding of current ICH-GCP guidelines, clinical research regulations, and standard operating procedures (SOPs).
Coding Dictionaries: Hands-on knowledge of using MedDRA and WHODrug coding dictionaries.
Data Standards: Basic familiarity with SAS programming concepts and CDISC standards.