Medical Product Surveillance Specialist

7 days ago


Hyderabad Secunderabad Telangana, India beBeeInnovation Full time ₹ 1,04,000 - ₹ 1,30,878

Job Description

Key Activities
  • Monitor and evaluate emerging industry trends, technologies, academic research, and vendor solutions related to AI/ML for post-market surveillance.
  • Maintain a landscape of external vendors offering signal detection, NLP, and data analytics solutions relevant to product surveillance.
Collaboration & Innovation Development
  • Partner with the Data Science team to assess feasibility, develop prototypes, and deploy AI/ML models for signal detection and augmentation of signal assessment.
  • Engage with stakeholders (e.g. TA Safety) to identify unmet needs and prioritize use cases.
  • Facilitate workshops or ideation sessions to shape innovation roadmaps and pilot initiatives.
  • Promote adoption of industry best practices and ensure compliance with regulatory guidance on AI/ML in combination products.
  • Perform regulatory impact and risk analysis of proposed solutions.
  • Develop internal guidelines and documentation for advanced analytics in surveillance activities.
Project Execution
  • Lead or support proof-of-concept and pilot initiatives for new surveillance technologies.
  • Translate business needs into functional requirements for solution development.
  • Track project progress, manage risks, and report findings to senior leadership.

Required Skills and Qualifications

  • Post-market surveillance experience, pharmacovigilance, medical device vigilance, or related domain knowledge.
  • Combination products and medical devices knowledge, including device safety monitoring regulations and standards.
  • Software development concepts understanding.
  • Market scanning, vendor/product evaluation experience.
  • Regulatory framework and guidance on AI in medicinal products lifecycle knowledge.

Preferred Skills and Qualifications

  • Demonstrated experience working with or evaluating AI/ML tools, safety analytics, NLP, or data mining.
  • Strong project management, cross-functional collaboration, and communication skills.

Education and Experience

  • 8-13 years of industry experience.
  • Experience with market scanning, vendor/product evaluation.
  • AI/ML and/or automation tools experience.
  • Strong project management, cross-functional collaboration, and communication skills.


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