
Safety & PV AI and Machine Learning Specialist
Syneos Health
full-time
Posted on:
Location Type: Remote
Location: Serbia
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Tech Stack
About the role
- Serve as a key technical and strategic contributor to Syneos Health’s Safety & Pharmacovigilance (PV) AI enablement initiatives
- Explore, develop, and implement artificial intelligence (AI), machine learning (ML), and automation solutions to enhance pharmacovigilance processes
- Design, build, and test AI/ML-based prototypes and proof-of-concept solutions for PV workflows
- Develop and optimize prompt engineering strategies for large language models (LLMs)
- Evaluate and integrate AI technologies and APIs into existing PV systems or processes
- Collaborate with developers and data engineers to ensure scalable, compliant implementation of AI tools
- Support model evaluation, validation, and monitoring activities to ensure accuracy, reliability, and compliance with regulatory standards
- Work cross-functionally with Safety Operations, Data Science, IT, and Business Analysts to align AI initiatives with PV business needs
Requirements
- Bachelor’s or Master’s degree in Life Sciences, Computer Science, Data Science, Engineering, or related field
- 3–5+ years of experience in pharmacovigilance, drug safety, or life sciences operations and/or experience developing AI/ML solutions within a regulated industry
- Demonstrated experience with AI/ML model development and deployment (e.g., Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API)
- Natural Language Processing (NLP) and Large Language Model (LLM) applications
- Prompt design and optimization for LLM-based agents
- Understanding of GxP, 21 CFR Part 11, and data privacy requirements in the pharmaceutical industry
- Understanding of global AI specific regulations and guidelines
Benefits
- Career development and progression
- Supportive and engaged line management
- Technical and therapeutic area training
- Peer recognition and total rewards program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
artificial intelligencemachine learningprompt engineeringmodel evaluationmodel validationPythonTensorFlowPyTorchScikit-learnNatural Language Processing
Soft skills
collaborationstrategic thinkingproblem-solvingcommunicationcross-functional teamwork