AI Engineer for Next-Gen Clinical Trials Systems

Clinical ink; Dubai; On-site; AED 20,000 - 35,000; Full time

Job summary

A global life science company is seeking a motivated AI Engineer to enhance its digital health platforms and support data-driven decisions for smarter clinical trials. The ideal candidate will hold an advanced degree and have over 2 years of AI engineering experience. Responsibilities include developing AI/ML models, collaborating across teams, and optimizing operations. The role offers opportunities to innovate within clinical trial technology.

Qualifications

• 2+ years of experience in applied machine learning or AI engineering.
• Experience building and validating machine learning models on real-world datasets.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with time-series data or biomedical sensor data preferred.

Responsibilities

• Build and train machine learning models for various applications.
• Collaborate with product and engineering teams for AI feature integration.
• Rapidly prototype AI solutions and applications.
• Clean, transform, and analyze clinical trial data.
• Contribute to internal AI tools to optimize operations.
• Deploy models in production and monitor performance.
• Document technical approaches for diverse audiences.

Skills

Python

Machine Learning libraries (e.g., scikit-learn, PyTorch, TensorFlow)

Problem-solving skills

Attention to detail

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field

Tools

AWS

Azure

Job description

A global life science company is seeking a motivated AI Engineer to enhance its digital health platforms and support data-driven decisions for smarter clinical trials. The ideal candidate will hold an advanced degree and have over 2 years of AI engineering experience. Responsibilities include developing AI/ML models, collaborating across teams, and optimizing operations. The role offers opportunities to innovate within clinical trial technology.