Healthcare Data Scientist in AI Solution Evaluation & Validation

Tangent International; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

An innovative tech company in Dubai is seeking a Healthcare Data Scientist for AI Solution Evaluation & Validation. The ideal candidate will have experience in AI/ML model evaluation, strong programming skills, and a Master's or PhD in Data Science or related fields. Key responsibilities include conducting technical evaluations, designing testing protocols, and collaborating with various teams to ensure the technical soundness of AI solutions. This role offers a unique opportunity to work at the intersection of healthcare and technology.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, or a related field.
• 3-5+ years of experience in AI/ML model evaluation or deployment.
• Strong programming skills in Python, R, and expertise in ML libraries.

Responsibilities

• Conduct technical due diligence by analyzing vendor models, APIs, and performance claims.
• Design robust testing protocols using real or synthetic data.
• Run hands-on evaluations and compare vendor models using Python, scikit-learn, and TensorFlow.

Skills

Python

Machine Learning

Data Analysis

SQL

R

Education

Master’s or PhD in Data Science, Computer Science, or Statistics

Tools

TensorFlow

scikit-learn

Job description

Exciting job opportunity for a Healthcare Data Scientist in AI Solution Evaluation & Validation based in the USA, Dubai.

Role Overview:

Join our team to rigorously assess external AI solutions for technical soundness, performance, bias, and integration suitability across diverse domains like Provider, Payer, Consumer, and Enterprise. This role focuses on designing validation frameworks, conducting evaluations, and offering technical insights.

Key Responsibilities:

– Conduct technical due diligence by analyzing vendor models, APIs, and performance claims.
– Design robust testing protocols using real or synthetic data.
– Run hands-on evaluations and compare vendor models using Python, scikit-learn, and TensorFlow.
– Translate technical findings into actionable insights and recommendations.
– Collaborate with Product, AI Architecture, and Data teams to share best practices.

Required Qualifications:

– Master’s or PhD in Data Science, Computer Science, Statistics, or related field.
– 3–5+ years of experience in AI/ML model evaluation or deployment.
– Strong programming skills in Python, R, and expertise in ML libraries.
– Proven ability to design and execute model validation strategies.
– Experience with SQL and handling large datasets.

Preferred Qualifications:

– Healthcare domain experience is a plus.
– Experience evaluating third-party AI/ML solutions.
– Knowledge of ethical AI principles, data privacy regulations, and cloud ML platforms.
– Strong communication skills and creative problem-solving ability.

To apply, send your CV to [e-mail].