Assistant/Associate Professor of Bioinformatics and Health Data Science

Job Description

The College of Medicine and Health Sciences (UAE University) invites applications for the position of Assistant/Associate Professor/Professor of Bioinformatics and Health Data Science. We are seeking a dedicated and forward-thinking individual to join our esteemed faculty and contribute to the dynamic field of Bioinformatics and Health Data Science. As an Assistant/Associate Professor/Professor, you will be a key player in advancing our academic mission through teaching, research, and professional services. The successful candidate will have a strong foundation in Bioinformatics and Health Data Science, with expertise in areas such as AI, Big Data Analytics, and Machine Learning, particularly in the context of genetics and genomics.

Responsibilities:

1. Teaching:
   • Design and deliver courses covering Python programming for life sciences, Bioinformatics, and Data Science (AI, Big Data, and Machine Learning) in healthcare and public health.
   • Engage students through innovative and practical approaches to foster a deep understanding of complex concepts.
2. Research and Projects:
   • Lead and collaborate on research projects in Bioinformatics and Health Data Science, focusing on Big Data Analytics, AI, and Machine Learning for genetics and genomics.
   • Lead metagenomic and statistical analyses of data sets derived from Next Generation Sequencing (NGS) data.
   • Initiate/implement, troubleshoot, and maintain analysis software.
   • Contribute to the scholarly community through impactful conferences, seminars, and congresses in AI, Big Data, Machine Learning, and Bioinformatics.
3. Supervision:
   • Mentor and supervise postgraduate students (master's and Ph.D.) in areas such as Health Data Science (AI, Big Data, Machine Learning) and Bioinformatics for genetics and genomics.
   • Provide guidance and support to ensure the success of research endeavors.
4. Publication:
   • Publish research findings in high-impact journals, specifically in AI, Big Data, Machine Learning, and Bioinformatics for genetics and genomics.
   • Disseminate research outcomes at conferences/workshops/media to contribute to the academic community and society.
5. Academic Programs and Course Design:
   • Contribute to the development and enhancement of academic programs, especially in the areas of Bioinformatics and Health Data Science.
   • Play a role in designing and refining courses to align with government needs, industry trends, and technological advancements.
6. Laboratory Management:
   • Manage the Health Data Science laboratory, ensuring a conducive environment for cutting-edge research and student engagement.

Minimum Qualification:

A Ph.D. or Doctorate in disciplines such as Bioinformatics, Computational Biology, Health Informatics, Data Science, Computer Science, IT, or a closely related field.

Preferred Qualification:

• Demonstrated expertise in teaching and research in Bioinformatics and Health Data Science.
• Strong background in AI, Big Data Analytics, and Machine Learning, particularly in the context of genetics and genomics.
• Proven track record of research productivity and publication in reputable journals.

Expected Skills:

• Experience in supervising postgraduate students.
• Familiarity with academic programs and course design.
• Experience in scientific programming, especially Python, with applications to biological research and healthcare.
• Experience with Shell programming and UNIX/LINUX Systems.
• Broad knowledge of biology, especially genetics.
• Experience with large genomic data sets (Next-generation sequencing, genotyping, or expression data), data mining, and data analysis.
• Ability to work effectively in a collaborative team environment.

Close Date: Kindly apply before the closing date: 28/02/2025.