Healthcare Data Science Lead | ML & Strategy

Remotedxb; Dubai; On-site; AED 400,000 - 800,000; Full time

Job summary

Geisinger in Dubai seeks a senior data science leader to guide a multidisciplinary team of data scientists and analysts. You will evaluate AI initiatives, assess impact and risk, and drive healthcare-focused ML projects from design to deployment.

Responsibilities include mentoring, recruitment oversight, and collaboration with senior leadership to shape data science strategy and governance. Strong Python/SQL and Databricks ML experience are essential for success.

Qualifications

• Bachelor's degree required.
• Minimum 6 years of relevant experience.
• Proficiency in Python and SQL.
• Experience with Databricks and Machine Learning.
• Experience with Quality & Safety Analytics preferred.
• Knowledge of emerging AI technologies like LLMs, RAG, and GenAI.

Responsibilities

• Lead and manage a team of data scientists and analysts.
• Evaluate AI enabled initiatives including impact assessment and risk analysis.
• Oversee recruitment, hiring, and onboarding of new team members.
• Conduct regular performance evaluations and provide constructive feedback.
• Develop and implement mentoring programs for professional growth.
• Collaborate with senior leadership to define data science strategies.
• Establish standards and best practices for data science methodologies.
• Participate in coding and development work approximately 50% of the time.
• Develop and deploy machine learning models for healthcare applications.
• Partner with clinicians and researchers to translate requirements into data-driven solutions.

Skills

Python

SQL

Machine Learning

LLMs/GenAI

Data Analytics

Leadership

Education

Bachelor's Degree

Tools

Databricks

Job description

Geisinger in Dubai seeks a senior data science leader to guide a multidisciplinary team of data scientists and analysts. You will evaluate AI initiatives, assess impact and risk, and drive healthcare-focused ML projects from design to deployment.

Responsibilities include mentoring, recruitment oversight, and collaboration with senior leadership to shape data science strategy and governance. Strong Python/SQL and Databricks ML experience are essential for success.