Coding Specialist – Clinical Data Management (Remote, India)
Location: Remote, India
Job Type: Full-Time
Category: Clinical Research / Clinical Data Management
Job ID: R-01338263
About the Role
Thermo Fisher Scientific’s Clinical Research Services (CRS) team is at the forefront of accelerating life-changing therapies to market. Supporting leading global pharmaceutical and biotechnology organizations, our team contributes to over 2,700 clinical trials across 100+ countries, ensuring high-quality data and regulatory compliance.
We are seeking a Coding Specialist to join our Clinical Data Management (CDM) team in India. This role focuses on accurate and compliant coding of clinical and medical terminology according to study Coding Plans and Data Validation Manuals (DVMs), while collaborating with global project teams to deliver inspection-ready, analysis-ready clinical data.
Key Responsibilities
Accurately code medical terminology and review coding listings in alignment with the study-specific Coding Plan and DVM.
Identify, document, and resolve data discrepancies by collaborating with project teams and study sites.
Ensure coding quality, completeness, and timeliness in accordance with SOPs, Good Clinical Practice (GCP), and departmental procedures.
Provide guidance on coding standards and best practices to CDM project teams.
Produce and maintain regular coding status reports for supervisors and clients.
Maintain comprehensive documentation for regulatory inspections and audits.
Support process improvements and contribute to team knowledge sharing.
Required Education & Experience
Bachelor’s degree in Life Sciences, Pharmacy, or related field.
1 to 1.6 years of relevant experience in clinical data management or coding.
Hands-on experience with RAVE / Veeva EDC, WHODD, and MedDRA coding dictionaries.
Familiarity with clinical trial protocols, Data Validation Manuals, and CDM processes.
Skills & Competencies
Strong understanding of clinical and medical terminology with high attention to detail.
Knowledge of regulatory guidelines, global SOPs, and client expectations.
Excellent written and verbal communication skills with strong command of English.
Proficiency in interactive computer programs and clinical trial data systems.
Analytical, organized, and capable of working independently or in a team environment.
Ability to maintain confidentiality of medical records and proprietary data.
Flexible, adaptable, and proactive in solving coding-related challenges.
Career Growth & Opportunities
As part of a Functional Service Provider (FSP) model, you will support a globally recognized biopharmaceutical sponsor known for specialty medicines, vaccines, and scientific innovation. This role provides exposure to:
Global clinical trials across multiple phases and therapeutic areas.
Hands-on experience in modern CDM, AI-enabled workflows, and data management tools.
End-to-end study ownership, from trial set-up to close-out.
Career progression into Senior CDM, CDTL, CDM Project Management, or Data Standards/Programming roles.
Collaboration with global teams, CROs, and vendors, building expertise in international clinical study delivery.
Why Join Thermo Fisher Scientific
Global Exposure: Work on high-impact international studies across therapeutic areas.
Professional Growth: Structured learning pathways, mentorship, and stretch assignments.
Innovation & Technology: Access to AI platforms and advanced clinical trial technologies.
Impact: Contribute directly to bringing life-changing medicines to patients worldwide.
About Thermo Fisher Scientific
Thermo Fisher Scientific is the world leader in serving science, with annual revenue exceeding $44 billion. Our mission is to make the world healthier, cleaner, and safer through innovative technologies, laboratory services, and scientific solutions. With a distributed workforce of over 90,000 employees globally, we provide opportunities for professional growth, collaboration, and global impact.
Equal Opportunity Employer: Thermo Fisher Scientific is committed to fostering an inclusive, diverse workplace.
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