Coding Specialist – Clinical Data Management (Remote, India)
Location: Remote, India
Employment Type: Full-Time
Experience Required: 1–2 years in clinical data management or medical coding
About Thermo Fisher Scientific – Clinical Research Services:
Thermo Fisher Scientific is a global leader in life sciences and clinical research, partnering with top pharmaceutical and biotechnology organizations to deliver innovative therapies. Our Clinical Research Services, powered by the PPD® portfolio, support over 2,700 clinical trials across 100+ countries, ensuring high-quality, compliant, and efficient clinical study delivery.
Position Overview:
The Coding Specialist is responsible for accurate coding of clinical and medical terminology using established standards, ensuring study data is inspection-ready and analysis-ready. The role involves identifying data discrepancies, providing guidance to Clinical Data Management (CDM) teams, and collaborating with study sites to resolve issues in alignment with SOPs, GCP, and Data Validation Manuals (DVM).
Key Responsibilities:
Perform coding of medical terminology using MedDRA, WHODD, and study-specific Coding Plans.
Review coding listings, identify discrepancies, and coordinate with study teams and sites for resolution.
Ensure all coding outputs meet departmental SOPs, quality standards, and project timelines.
Provide guidance and support on coding practices to CDM project teams.
Maintain documentation of coding activities and prepare regular project-specific status reports.
Ensure compliance with regulatory guidelines, GCP standards, and client-specific requirements.
Collaborate with global teams, contributing to high-quality data for international clinical trials.
Qualifications and Experience:
Bachelor’s degree or equivalent in Life Sciences, Pharmacy, or related field.
Minimum 1–2 years of experience in clinical data management or medical coding.
Hands-on experience with EDC systems such as Medidata RAVE, Veeva, or equivalent.
Proficient in medical coding dictionaries, including MedDRA and WHODD.
Skills and Competencies:
Strong understanding of clinical and medical terminology.
High attention to detail and accuracy in coding activities.
Proficiency in EHR/EDC systems and Microsoft Office Suite, including Google Workspace.
Excellent written and verbal communication skills in English.
Ability to work independently and collaboratively in a team environment.
Analytical and problem-solving skills with strong organizational capabilities.
Maintain confidentiality of sensitive patient and study data.
Knowledge of Data Validation Manuals (DVM) and coding SOPs.
Career Growth Opportunities:
Progress along the Clinical Data Management track (e.g., Senior CDM, CDTL, CDM PM).
Opportunities to transition into Data Standards, Programming, or other specialized clinical data roles.
Exposure to AI-enabled clinical trial workflows and modern CDM technologies.
Work on global clinical studies across therapeutic areas, gaining international experience.
Why Join Thermo Fisher Scientific:
Contribute to life-changing therapies and improve patient outcomes globally.
Gain hands-on experience in modern clinical data management, including AI-driven tools.
Collaborate with international teams, CROs, vendors, and global stakeholders.
Engage in end-to-end clinical trial delivery, from study setup to close-out.
Access professional development, mentorship, and career advancement opportunities.
Equal Opportunity Employer:
Thermo Fisher Scientific is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Reasonable accommodations are available during the hiring process for candidates with disabilities.
Application Instructions:
Qualified candidates are invited to submit their CV through the Thermo Fisher Scientific careers portal, highlighting relevant clinical data management or medical coding experience, EDC system proficiency, and familiarity with MedDRA/WHODD coding.
Gujarat :
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Delhi | India | New Delhi | PAN-India |Assam :
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Ranchi |Sikkim :
Rangpo |India :
Siliguri |Illinois :
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Frank Scottile Blvd |Missouri :
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Germany | GErmany |Lower Saxony :
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Netherlands |Remote Australia :
Arkansas | Remote Australia |New South Wales :
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England | Harlow | Leeds | London | Maidenhead | Salt Lake City | Stevenage | Stirling | United Kingdom |North Yorkshire :
Harrogate |South Yorkshire :
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Tartu | Estonia |Harju County (Maakond) :
Tallinn |Hà Nội :
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Kyiv |Lima Region :
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Niš |Bohemia :
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