Instagram
youtube
Facebook

Associate Patient Data Specialist

0.6-1 years
Not Disclosed
10 Oct. 17, 2025
Job Description
Job Type: Full Time Remote Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, 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, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Associate Patient Data Specialist

Location: Remote, India
Job ID: R-01330237
Job Type: Full-time
Category: Clinical Research
Work Model: Fully Remote
Work Schedule: Standard (Monday–Friday)
Environment: Office


About the Role

Join our Clinical Research Services team, part of the PPD® clinical research portfolio at Thermo Fisher Scientific. We are dedicated to accelerating the development of life-changing therapies by combining scientific expertise, clinical insight, and data-driven innovation.

As an Associate Patient Data Specialist, you will independently analyze and manage patient data from multiple sources, supporting clinical trial efficiency, accuracy, and compliance. You will collaborate across departments, lead discussions, and contribute to the continual improvement of clinical data management processes.


Key Responsibilities

  • Review and analyze subject data from multiple sources with a data-analytic mindset.

  • Identify trends, risks, gaps, and areas for process optimization as clinical trials evolve.

  • Collaborate with cross-functional study teams to determine effective data management strategies.

  • Provide concise updates and insights to study teams and stakeholders after reviewing patient data.

  • Understand and apply clinical trial protocols, schedules, and visit plans.

  • Ensure accurate setup and maintenance of tracking systems; manage escalations when necessary.

  • Escalate and assist in resolving performance issues related to clinical, site payments, or IT systems.

  • Lead internal team meetings to review subject data status and performance metrics.

  • Contribute to process development, documentation, and implementation of best practices.

  • Continuously enhance knowledge in programming, clinical trials, data management, and related technologies.


Qualifications

Education:

  • Bachelor’s degree in Life Sciences, Engineering, Biostatistics, Programming, or related field.

Experience (Preferred but not Mandatory):

  • 6 months – 1 year in clinical research or related field.

  • Experience in data assessment, analytics, or critical evaluation.

  • Exposure to process development or process improvement activities.

  • Familiarity with scientific databases and clinical data systems.


Skills & Competencies

  • Strong understanding of database structures and complex data systems.

  • Proficiency in Microsoft Excel and other data tools.

  • Excellent analytical and problem-solving abilities.

  • Exceptional attention to detail and quality control orientation.

  • Strong communication (written & verbal) and English proficiency.

  • Ability to manage multiple assignments under strict timelines.

  • High adaptability, initiative, and self-motivation.

  • Capable of leading multidisciplinary discussions and making informed decisions.


Accessibility / Disability Accommodation

Thermo Fisher Scientific ensures individuals with disabilities are provided with reasonable accommodations for:

  • The job application or interview process

  • Performing essential job functions

  • Accessing other employment benefits

For assistance, please contact the company to request accommodation.


Equal Opportunity Statement

Thermo Fisher Scientific is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to any legally protected characteristic (including race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, etc.).