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Clinical Data Coordinator I

Fortrea
Fortrea
3+ years
Not Disclosed
Bangalore, India
9 May 18, 2026
Job Description
Job Type: Full Time Hybrid Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

External Data Associate / Clinical Data Specialist (LDM Support)


Job Overview

This role supports Local Data Management (LDM) activities related to the review, maintenance, and processing of external vendor data received from central laboratories and local sites. The position ensures adherence to departmental SOPs, global standards, and regulatory requirements to maintain data integrity and consistency across clinical studies.


Key Responsibilities

External Data Management

  • Ensure vendor data includes all protocol-specified parameters and is correctly formatted for database integration

  • Verify accurate mapping of patient data into designated database fields

  • Assist in validating electronically transferred vendor data for selected patient samples

  • Review external data listings, status reports, and edit checks


Data Discrepancy & Query Management

  • Review data discrepancies generated through study-specific edit checks

  • Perform query management to resolve data issues with vendors and internal teams

  • Support communication of data transfer, validation, and data point issues under guidance


Data Transfer Support

  • Support development of Data Transfer Agreements (DTA) and Data Transfer Specifications (DTS)

  • Ensure accurate execution of vendor data transfer processes

  • Assist in identifying and resolving issues related to data loading and validation


Laboratory Data Management

  • Collaborate with clinical teams (CTMs/CRAs) to obtain local laboratory normal ranges

  • Investigate and resolve discrepancies in lab reference ranges

  • Enter and perform quality control (QC) of local laboratory normal ranges

  • Ensure proper linkage of lab ranges to patient results in the database


Collaboration & Communication

  • Interface with clinical and operational teams to resolve data-related issues

  • Communicate effectively with vendors and internal stakeholders regarding data transfer and validation issues

  • Maintain clear documentation of all resolutions and updates


Additional Responsibilities

  • Perform other duties as assigned in support of study activities

  • Adapt to evolving project needs and priorities


Qualifications

  • Bachelor’s degree in Life Sciences, Health Sciences, Information Technology, or related field, or allied health certification from an accredited institution

  • Equivalent experience may be considered in lieu of formal education

  • Fluent in English (written and verbal communication)


Experience Requirements

  • Minimum 3 years of experience in pharmaceutical, biotechnology, medical device/diagnostics, or clinical trial environments

  • Strong understanding of clinical research processes and data management workflows

  • Basic knowledge of medical terminology (preferred)

  • Familiarity with ICH-GCP guidelines


Skills & Competencies

  • Strong organizational and critical thinking skills

  • Ability to manage multiple priorities in a fast-paced environment

  • Strong attention to detail and data accuracy

  • Effective written and verbal communication skills

  • Ability to work collaboratively with internal teams and external vendors

  • Technical aptitude and proficiency in Microsoft Office tools

  • Ability to maintain confidentiality and handle sensitive clinical data


Work Environment

  • Office-based or remote working environment

  • Extended screen time required

  • Ability to handle frequent interruptions and shifting priorities

  • Flexibility to work in rotating shifts based on business needs


Role Summary

This role plays a key part in ensuring the accuracy, consistency, and regulatory compliance of external clinical data. It requires strong attention to detail, collaboration with cross-functional teams, and the ability to manage complex data workflows in a regulated clinical research environment.