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Post Doctoral Fellow

Khalifa University of Science, Technology and Research

Abu Dhabi

On-site

USD 80,000 - 120,000

Full time

24 days ago

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Job summary

Khalifa University is seeking a Lead Scientist specializing in Artificial Intelligence in Drug Discovery. This role involves research, supervision of students, and collaboration with partners, requiring a strong scientific background and leadership skills. Candidates should have a PhD and a proven track record in the field.

Qualifications

  • PhD required in computer science or life sciences.
  • Demonstrated research leadership through publications.
  • Ability to lead research projects.

Responsibilities

  • Conduct hands-on research and publish scientific work.
  • Supervise graduate students and guide collaborations.
  • Establish future research and organizational directions.

Skills

Scientific skills
Technical skills
Leadership skills

Education

PhD in computer science or life sciences

Job description

Job Opportunity: Lead Scientist in Artificial Intelligence in Drug Discovery

Khalifa University of Science, Technology and Research's Computer-Aided Drug Discovery group, led by Prof. Andreas Bender, is seeking to recruit a Lead Scientist specialized in Artificial Intelligence in Drug Discovery. This role involves hands-on research, publishing scientific work, supervising future group members such as graduate students, guiding collaborations within the university and with external partners, and establishing future research and organizational directions.

Qualifications and Criteria:

  1. PhD in computer science or life sciences
  2. Significant research leadership demonstrated through publications and presentations in the computer-aided drug discovery field
  3. Ability to lead research projects

Desired Skills:

  • Strong scientific, technical, personal, and leadership skills
  • Experience in AI applications in drug discovery, evidenced by peer-reviewed publications

This position will assume significant operational and research responsibilities, requiring a candidate with a strong scientific background and leadership capabilities.

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