Senior Faculty In Data Science And Artificial Intelligence

WCM-Q

Doha, Qatar
On-site
Computational and machine learning methods
Multi-omic, clinical, and epidemiological datasets
Modern deep learning techniques
Develop and deploy advanced computational and machine‑learning methods to support research and analytical initiatives across the organization

Job Summary

  • Develop and deploy advanced computational and machine‑learning methods to support research and analytical initiatives across the organization.
  • Design, implement, and lead new research programs and collaborations, leveraging existing multi‑omic, clinical, and epidemiological datasets in partnership with the main campus in New York and local collaborators in Qatar.
  • Integrate and analyze multimodal datasets including genomics, metabolomics, imaging, and electronic medical records using state‑of‑the‑art machine learning approaches, particularly modern deep learning techniques.

Matching Summary

Develop and deploy advanced computational and machine‑learning methods to support research and analytical initiatives across the organization.

Skills & Requirements

Must-have

  • computational and machine learning methods
  • multi-omic, clinical, and epidemiological datasets
  • modern deep learning techniques
  • cross-functional collaboration
  • AI-driven methodologies

Nice-to-have

  • passion for research and innovation
  • attention to detail
  • adaptive thinking
  • working with international consortia

Key Requirements

  • Ph.D. and/or M.D.
  • Relevant postdoctoral experience
  • Excellence in scholarship
  • Strong high-impact publications
  • Consistent record of grant support

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter