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Safety & PV AI and Machine Learning Specialist – Syneos Health (Remote/Hybrid)

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Syneos Health

Bachelor’s or Master’s degree in Life Sciences, Pharmacy, Computer Science, Data Science, Engineering or related discipline

Remote/Hybrid

3–5+ years

Verified Job

Online Application
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Syneos Health®, a global leader in biopharmaceutical solutions, is hiring a Safety & Pharmacovigilance (PV) AI and Machine Learning Specialist to support its next-generation PV innovation and safety technology initiatives.

This opportunity is ideal for professionals with a strong background in pharmacovigilance, drug safety, and artificial intelligence (AI/ML) who want to work at the intersection of regulatory-compliant AI, patient safety, and advanced analytics.

With remote and hybrid work options across India and Europe, this role offers exposure to global safety operations, cutting-edge AI tools (LLMs, NLP, automation), and real-world regulated environments.

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Job Overview

  • Job Title: Safety & PV AI and Machine Learning Specialist
  • Department: Safety & Pharmacovigilance – Safety Tech / PV Innovation
  • Employment Type: Full-time
  • Work Mode: Remote / Hybrid
  • Locations:
    • India – Pune, Hyderabad, Salem (Hybrid)
    • Serbia (Remote)
    • Bulgaria (Remote)

Key Responsibilities

AI & Machine Learning for Pharmacovigilance

  • Design and develop AI/ML proof-of-concept (POC) solutions for pharmacovigilance workflows.
  • Apply Large Language Models (LLMs) for:
    • Case intake and triage
    • Narrative generation
    • Data extraction and signal detection
  • Perform prompt engineering and optimization for PV automation use cases.

Technical Integration & Innovation

  • Integrate AI technologies such as NLP, Generative AI, computer vision, and APIs into existing PV systems.
  • Collaborate with Safety Tech, IT, Data Science, and PV Operations teams.
  • Translate PV operational challenges into scalable AI solutions.

Governance & Compliance

  • Support model validation, monitoring, and documentation.
  • Ensure AI solutions comply with GxP, GDPR, and 21 CFR Part 11.
  • Contribute to AI governance, explainability, and risk management frameworks.

Cross-Functional Collaboration

  • Act as a subject matter expert on AI trends in drug safety.
  • Communicate complex technical concepts to non-technical stakeholders.

Qualifications & Experience

Education

  • Bachelor’s or Master’s degree in:
    • Life Sciences
    • Pharmacy
    • Computer Science
    • Data Science
    • Engineering or related discipline
  • Advanced degree preferred.

Experience

  • 3–5+ years experience in:
    • Pharmacovigilance / Drug Safety / Life Sciences operations OR
    • AI/ML development in a regulated industry
  • Hands-on experience with:
    • Python, TensorFlow, PyTorch, Scikit-learn
    • NLP and LLM applications (GPT-4 or above)
    • Hugging Face, OpenAI APIs
    • AI POC or pilot implementations

Regulatory Knowledge

  • Strong understanding of:
    • Pharmacovigilance workflows
    • Global PV regulations
    • AI-specific regulatory expectations

Preferred Skills

  • Experience with safety databases and case processing systems
  • Familiarity with RPA and automation tools
  • Strong documentation and stakeholder communication skills
  • Passion for responsible AI and patient safety innovation

Why Join Syneos Health?

  • Work with 94% of FDA-approved novel drugs
  • Exposure to global PV innovation programs
  • Career growth through training, mentorship, and leadership support
  • Inclusive Total Self culture
  • Opportunity to shape the future of AI-enabled pharmacovigilance

Estimated Salary (India)

  • ₹18,00,000 – ₹30,00,000 per annum
    (Salary may vary based on experience, location, and skill set)

How to Apply

Application Link

Safety & PV AI and Machine Learning Specialist – Syneos Health (Remote/Hybrid)
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