Safety PV AI and Machine Learning Specialist Jobs at Syneos Health Remote & Hybrid roles in global pharmacovigilance innovation.
Job Title: Safety & Pharmacovigilance (PV) AI and Machine Learning Specialist
Job Requisition ID: 25103964
Employment Type: Full-Time
Work Mode: Remote / Hybrid (Pre-Approved)
Available Locations:
Remote – Serbia, Bulgaria
Hybrid – Pune, Hyderabad, Salem (India)
Industry: Pharmacovigilance | Drug Safety | AI & Machine Learning | Clinical Research
About the Company
Syneos Health is a leading, fully integrated biopharmaceutical solutions organization focused on accelerating customer success. The company combines clinical development, medical affairs, and commercial expertise to deliver meaningful outcomes in a rapidly evolving healthcare landscape. Safety PV AI and Machine Learning Specialist Jobs
With a presence across more than 110 countries and a workforce of approximately 29,000 professionals, Syneos Health supports global drug development through innovation, collaboration, and patient-centric solutions. Over the past five years, the organization has worked on the majority of newly approved FDA and EMA products, demonstrating its impact on global healthcare.
Job Details
- Position: Safety & PV AI and Machine Learning Specialist
- Department: Safety & Pharmacovigilance (Safety Technology / PV Innovation)
- Reports To: Director, Pharmacovigilance
- Job Type: Full-Time
- Work Arrangement: Remote or Hybrid (location dependent)
- Experience Level: 3–5+ Years
Job Description
Syneos Health is seeking a Safety & Pharmacovigilance AI and Machine Learning Specialist to support and advance its PV innovation initiatives. This role will focus on designing, developing, and implementing AI-driven and machine learning solutions to enhance pharmacovigilance workflows while ensuring compliance with global regulatory standards. Safety PV AI and Machine Learning Specialist Jobs
The position requires a strong blend of pharmacovigilance or life sciences domain expertise and hands-on AI/ML development experience. The successful candidate will work closely with Safety Operations, IT, Data Science, and Business stakeholders to drive responsible and compliant AI adoption in drug safety operations. Safety PV AI and Machine Learning Specialist Jobs
Key Responsibilities
AI Solution Design and Development
- Design, develop, and test AI and ML-based proof-of-concept solutions for pharmacovigilance workflows such as case intake, triage, data extraction, signal detection, and narrative generation
- Build and optimize prompt engineering strategies for large language models to support PV automation and decision support
- Translate pharmacovigilance operational challenges into scalable AI opportunities in collaboration with internal teams
Safety PV AI and Machine Learning Specialist Jobs
Technical Implementation and Integration
- Evaluate and integrate AI technologies including NLP, generative AI, computer vision, and automation tools into existing PV systems
- Collaborate with developers and data engineers to ensure scalable, secure, and compliant AI implementations
Data and Model Governance
- Support AI model validation, monitoring, and performance evaluation
- Contribute to governance frameworks covering documentation, explainability, risk management, and audit readiness
- Ensure compliance with GxP, GDPR, and 21 CFR Part 11 requirements
Collaboration and Knowledge Sharing
- Work cross-functionally with Safety Operations, IT, Data Science, and Business Analysts
- Act as a subject matter expert on AI trends and best practices in pharmacovigilance and life sciences
- Promote responsible, ethical, and compliant AI usage across PV teams
Safety PV AI and Machine Learning Specialist Jobs
Skills / Qualifications
Educational Qualifications
- Bachelor’s or Master’s degree in Life Sciences, Computer Science, Data Science, Engineering, or a related field
- Advanced degree preferred
Experience Requirements
- 3–5+ years of experience in pharmacovigilance, drug safety, life sciences operations, or AI/ML development within regulated industries
- Hands-on experience with:
- AI and ML development using Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, or OpenAI APIs
- Natural Language Processing and Large Language Model applications
- Prompt design and optimization for LLM-based agents
- Building proof-of-concept or pilot AI applications
- Understanding of GPT-4 or later models
- Strong knowledge of GxP, 21 CFR Part 11, and data privacy regulations
- Awareness of global AI-related regulatory guidelines
Safety PV AI and Machine Learning Specialist Jobs
Preferred Skills
- Experience with safety databases and pharmacovigilance case processing systems
- Familiarity with automation and RPA tools
- Strong analytical, documentation, and communication skills
- Ability to explain complex technical concepts to non-technical stakeholders
- Passion for innovation and responsible AI adoption
Safety PV AI and Machine Learning Specialist Jobs
Benefits / Perks
- Opportunity to work in a globally recognized biopharmaceutical organization
- Flexible remote or hybrid work options
- Exposure to cutting-edge AI applications in pharmacovigilance
- Continuous learning, career development, and technical training
- Inclusive and diverse work culture focused on employee well-being
Safety PV AI and Machine Learning Specialist Jobs
Why You Should Join
This role offers a unique opportunity to shape the future of pharmacovigilance through ethical and compliant AI innovation. You will work at the intersection of drug safety, advanced technology, and global healthcare, contributing directly to improved patient safety outcomes worldwide. Safety PV AI and Machine Learning Specialist Jobs
Frequently Asked Questions (FAQs)
Is this a remote role?
Yes. Remote work is available for selected locations, with hybrid options in India.
Is pharmacovigilance experience mandatory?
Yes. Experience in pharmacovigilance, drug safety, or regulated life sciences environments is required.
What technical skills are most important for this role?
AI/ML development, NLP, LLMs, prompt engineering, and experience building POC solutions.
Does this role involve global collaboration?
Yes. The position requires collaboration with global teams across multiple time zones.
How to Apply
Ensure your resume highlights your pharmacovigilance experience, AI and machine learning expertise, and experience working in regulated environments.
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