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0-5 years
Not Disclosed
Bangalore, India
10 June 2, 2026
Job Description
Job Type: Full Time Hybrid Remote Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategies, Data Visualization, Machine Learning (ML), Master Da, Auditing, Audit Management, Audits Compliance, Communication, Continued Learning, Decision Making, Gmp Procedures, Inspection Readiness, Managing Ambiguity, Organizing, People Management and Leadershi, Bachelor’s Degree (BS) or Master’s Degree (MS) in: Life Sciences Pharmacy Biotechnology Biomedical Sciences Chemistry Regulatory Affairs Or related scientific disciplines, Budget Management, Clinical Trials, Negotiation Skills, Process Improvement, Project Planning, Vendor Management, Waterfall Model, Building Construction, Clinical Practices, Clinical Research, Clinical Trials, Drug Development, Hazard Identification, Health Sciences, Immunology, Intensive Care UnIT (Icu), Internal Control, Intern, Building Construction, Clinical Practices, Clinical Research, Clinical Trials, Drug Development, Hazard Identification, Health Sciences, Immunology, Intensive Care UnIT (Icu), Internal Control, Intern, Building Construction, Clinical Practices, Clinical Research, Clinical Trials, Drug Development, Hazard Identification, Health Sciences, Immunology, Intensive Care UnIT (Icu), Internal Control, Intern, Building Construction, Clinical Practices, Clinical Research, Clinical Trials, Drug Development, Hazard Identification, Health Sciences, Immunology, Intensive Care UnIT (Icu), Internal Control, Intern, Causality Assessment, Change Control, Continual Improvement Process, Data Analytics and Digital, GDP Knowledge, gmp knowledge, HSE Knowledge, Manufacturing Process, Manufacturing Production, Operational Excellence, Process, Clinical Monitoring, Clinical Research, Clinical Study Reports, Clinical Trial Management Systems, Clinical Trials, Collaboration, Data Integrity, Decision Making Skills, Lifesciences, Clinical Research, Clinical Trials, Curious Mindset, Databases, Drug Development, Job Description, Lifesciences, Medical Communication, Medical Information, Medical Writing, Military Intelligence, Pat, Clinical SAS Programming, Clinical Trials, Cross-Functional Teams, Drug Development, Lifesciences, Negotiation Skills, People Management, Problem Solving Skills, Regulatory Compliance, Risk Management, Strategy Execution, Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance, Clinical Trials, Functional Teams, Literature Review, Management Skills, Medical Information, Medical Records, Medical Strategy, Pharmacovigilance, Regulatory Compliance, Risk Management, Safety Scien, Coaching Skills, Data Science, Environment, Experiments Design, Health And Safety (Ehs), Laboratory Equipment, Manufacturing Process, Materials Science, Process Simulation, Sop (Standard Operating Pro, Collaboration, Communication Skills, gmp, GMP Guidelines, Operational Excellence, Problem Solving Skills, Quality Agreements, Quality Compliance, Quality Management, Quality Standards, Regulatory Requ, Communication Skills, Continual Improvement Process, Master Data, Material Requirements Planning (Mrp), Materials Management, People Management, Production Planning, Supplier Relationship Management (Srm), Supply-Chain Man, CPC Certified, Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, Environment, Experiments Design, Health And Safety (Ehs), Laboratory Equipment, Manufacturing Process, Materials Science, Process Simulation, Sop (Standard Operating Procedure), Technical Writing, Wat, GCP guidelines, gmp knowledge, HSE Knowledge , Logistics and Transportation Management, Master Data, Operational Excellence, Sap Erp, supply chain management, Supply Planning, Warehouse Management, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, 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

Job Title: Manager – Clinical Data Management

Company: Thermo Fisher Scientific (PPD Clinical Research Portfolio)
Work Schedule: Standard (Monday–Friday)
Work Environment: Office-based role
Travel: Frequent domestic and international travel required


About the Company

Thermo Fisher Scientific supports global clinical research and pharmaceutical innovation, working with top pharmaceutical companies and biotech organizations across 100+ countries. The organization has contributed to thousands of clinical trials, enabling the development of life-changing therapies worldwide.


Role Overview

The Manager – Clinical Data Management is responsible for leading a small team of clinical data management professionals, ensuring high-quality delivery of clinical data activities across projects. The role involves people management, resource allocation, process improvement, and collaboration with senior leadership to ensure timely and compliant execution of clinical data management tasks.


Key Responsibilities

1. Team Leadership & People Management

  • Manage a small team of clinical data management staff

  • Conduct:

    • Hiring and interviewing

    • Performance management

    • Coaching and mentoring

    • Employee development and counseling

  • Approve:

    • Time sheets

    • Expense reports

    • Leave requests

    • Overtime

  • Handle corrective actions and employee relations issues when required

2. Project & Portfolio Oversight

  • Ensure tasks are completed accurately, on time, and within budget

  • Support study teams in delivering high-quality clinical data management outputs

  • Monitor performance against client expectations

3. Resource Management

  • Manage resource allocation for assigned staff

  • Participate in global resourcing strategy and reporting

  • Coordinate staffing decisions with senior leadership

4. Quality & Compliance

  • Ensure adherence to:

    • Regulatory guidelines

    • Standard Operating Procedures (SOPs)

    • Client requirements

  • Maintain compliance in all clinical data management activities

5. Process Improvement

  • Contribute to development and improvement of:

    • Processes

    • Procedures

    • Training programs for clinical data management functions

6. Operational Support

  • Support implementation of operational activities across studies or portfolios

  • Assist study managers in ensuring smooth execution of data management tasks


Required Qualifications

  • Bachelor’s degree or equivalent qualification

  • Relevant academic or vocational training in related field

  • 0–5 years of overall experience (with at least 1+ year in leadership responsibility, preferred or required depending on profile)


Key Skills & Competencies

Leadership & Management

  • Ability to manage and motivate teams

  • Delegation and task supervision skills

  • Coaching and mentoring capabilities

  • Ability to set and track team timelines

Technical & Analytical Skills

  • Strong attention to detail

  • Numerical and analytical ability

  • Ability to act as a subject matter expert in DM processes

Communication Skills

  • Strong verbal and written communication

  • Good command of English grammar and professional communication

Problem Solving & Execution

  • Strong analytical and problem-solving skills

  • Ability to manage changing priorities and project demands

Compliance & Professional Conduct

  • Ability to maintain confidentiality of clinical and proprietary data

  • Understanding of regulatory guidelines and SOP adherence


Working Environment

  • Office-based role using standard office systems and tools

  • Frequent travel (domestic and international) required for site and project coordination

  • Exposure to clinical operations environment and regulatory workflows


Role Impact

  • Ensures high-quality clinical data management across global trials

  • Directly contributes to accuracy and reliability of clinical research data

  • Supports development of new therapies through efficient data operations

  • Plays a key leadership role in clinical trial execution