Senior AI Scientist

About the role

This senior-level position drives healthcare innovation through advanced data science and machine learning. The role involves developing algorithms, guiding strategic decisions, and mentoring the data science team.

Key responsibilities

• Lead design, deployment, and evaluation of predictive models across multiple business units.
• Research and implement cutting‑edge machine learning techniques and statistical tests.
• Establish best practices for version control, testing, and containerization.
• Develop internal training programs and mentor junior data scientists.
• Align data science goals with business objectives and communicate findings to stakeholders.
• Oversee the full data pipeline, ensuring data quality and governance.

Required profile

• 5+ years of data science or analytics experience in healthcare.
• Hands‑on experience developing, deploying, and monitoring production AI/ML solutions.
• Strong statistical modeling and experimental design background.
• Ability to assess complex technical systems and translate findings into measurable improvements.
• Excellent written and verbal communication skills for cross‑functional collaboration.

Required skills

• Python
• SQL
• TensorFlow or PyTorch
• Cloud‑based AI/ML platforms and MLOps/LLMOps practices
• Statistical programming (e.g., R)
• Experience with large‑scale datasets and data pipelines