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Safety & PV AI and Machine Learning Specialist

Job in Salem, Washington County, Indiana, 47167, USA
Listing for: Syneos Health/ inVentiv Health Commercial LLC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Safety & PV AI and Machine Learning Specialist

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.

Discover what our 29,000 employees, across 110 countries already know:

WORK HERE MATTERS EVERYWHERE Why Syneos Health
  • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
  • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
  • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures and perspectives - we’re able to create a place where everyone feels like they belong.
Job Responsibilities Job Title

Safety & Pharmacovigilance (PV) AI and Machine Learning Specialist

Department

Safety & Pharmacovigilance (Safety Tech / PV Innovation)

Reports To

Director, Pharmacovigilance

Position Overview

The Safety & PV AI and Machine Learning Specialist will serve as a key technical and strategic contributor to Syneos Health’s Safety & Pharmacovigilance (PV) AI enablement initiatives. This role will focus on the exploration, development, and implementation of artificial intelligence (AI), machine learning (ML), and automation solutions to enhance pharmacovigilance processes, improve efficiency, and maintain compliance with global regulatory standards.

The ideal candidate brings a blend of pharmacovigilance or life sciences domain knowledge and hands‑on AI/ML development experience
, with strong capabilities in building proof‑of‑concept (POC) AI agents, writing effective prompts, and applying AI responsibly in a regulated environment.

Key Responsibilities
  • AI Solution Design & Development
    • Design, build, and test AI/ML‑based prototypes and proof‑of‑concept solutions for PV workflows (e.g., case intake, triage, data extraction, signal detection, narrative generation).
    • Develop and optimize prompt engineering strategies for large language models (LLMs) to support PV automation and decision‑support use cases.
    • Partner with Safety Tech, IT, and PV Operations to translate operational challenges into AI opportunities.
  • Technical Implementation & Integration
    • Evaluate and integrate AI technologies and APIs (e.g., NLP, generative AI, computer vision, process automation) into existing PV systems or processes.
    • Collaborate with developers and data engineers to ensure scalable, compliant implementation of AI tools.
  • Data & Model Governance
    • Support model evaluation, validation, and monitoring activities to ensure accuracy, reliability, and compliance with regulatory standards.
    • Contribute to AI governance frameworks including documentation, explainability, and risk management in line with GxP, GDPR, and 21 CFR Part 11.
  • Collaboration & Knowledge Sharing
    • Work cross‑functionally with Safety Operations, Data Science, IT, and Business Analysts to align AI initiatives with PV business needs.
    • Provide subject matter expertise on AI trends, tools, and best practices relevant to drug safety and life sciences.
Qualifications Education
  • Bachelor’s or Master’s degree in Life Sciences, Computer Science, Data Science, Engineering, or related field.
  • Advanced degree preferred.
Experience
  • 3‑5+ years of…
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