Senior Faculty, Data Science, Artificial Intelligence
Cornell University
full-time
Posted on:
Location Type: Office
Location: Doha • Qatar
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Job Level
About the role
- 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.
- Drive cross‑functional collaboration by partnering with faculty, research teams, and institutional entities that can benefit from AI‑driven methodologies.
- Collaborate across Cornell campuses, such as the Englander Institute for Precision Medicine, to support joint research initiatives and shared scientific objectives.
Requirements
- Ph.D. and/or M.D.
- Relevant postdoctoral experience
- A record of excellence in scholarship and strong high-impact publications as lead author.
- A consistent record of grant support from government and private funding agencies.
- Prior experience working with international consortia (e.g., DREAM challenges, ICGC, TCGA, etc.) is desirable.
Benefits
- Sponsorship Eligibility: Yes
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningcomputational methodsdata analysismulti-omic datasetsgenomicsmetabolomicsimagingelectronic medical recordsresearch program design
Soft Skills
collaborationleadershipcommunicationcross-functional teamworkscholarship excellencegrant writingpartnership developmentanalytical thinkingproblem-solvinginitiative
Certifications
Ph.D.M.D.