Assistant/Associate/Full Professor in Bioinformatics and Health Data Science

United Arab Emirates University; Abu Dhabi Emirate; On-site; AED 200,000 - 350,000; Full time

Job summary

A leading academic institution invites applications for an Assistant/Associate Professor/Professor of Bioinformatics and Health Data Science to advance teaching and research. Candidates should have a Ph.D. in a related field, with expertise in AI, Big Data Analytics, and Machine Learning. Responsibilities include course design, supervising students, and publishing research. This position contributes to shaping future academic programs and fostering an inclusive scientific community. Located in Abu Dhabi, UAE, this is an exciting opportunity for dedicated professionals.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Data Science, Computer Science, IT or closely related field.
• Expertise in teaching and research in Bioinformatics and Health Data Science.
• Strong background in AI, Big Data Analytics, and Machine Learning.

Responsibilities

• Design and deliver courses on Bioinformatics and Data Science.
• Lead research projects in Bioinformatics and Health Data Science.
• Mentor and supervise postgraduate students.
• Publish research findings in high-impact journals.
• Contribute to the development of academic programs.

Skills

Research productivity

Supervising postgraduate students

Scientific programming with Python

Knowledge of genetics

Experience with bioinformatics software

Ability to work in collaborative environments

Education

Ph.D. in Bioinformatics, Computational Biology, or related field

Tools

UNIX/LINUX Systems

Job description

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 Genomics and/or Health Data Science, with expertise in areas such as AI, Big Data Analytics, and Machine Learning, particularly in the context of genetics and genomics.

University is an equal-opportunity employer and encourages candidates from all backgrounds to apply. We are committed to fostering diversity and inclusivity in our academic community. Join us in shaping the future of Bioinformatics, Genomics and Health Data Science!

Responsibilities

• 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.
• Research and Projects:
  • Lead and collaborate on research projects in Bioinformatics, OMICS and Health Data Science, with a focus 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 and other genomics datasets.
  • Initiation/implementation, troubleshooting, and maintenance of analysis software.
  • Contribute to the scholarly community through impactful conference/seminar/congress/etc in AI, Big Data, Machine Learning, and Bioinformatics.
• Supervision:
  • Mentor and supervise postgraduate students (MSc, PhD and medical students) 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.
• 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.
• Academic Programs and Course Design:
  • Lead and contribute to the development and enhancement of academic programs, especially in the areas of Bioinformatics, Genomics, Health Data Science and AI in Health and Medicine.
  • Play a role in designing and refining courses to align with the needs, industry trends and government priorities, and technological advancements.
• Laboratory Management:
  • Manage the Health Data Science laboratory, ensuring a conducive environment for cutting-edge research and student engagement.

Minimum Qualifications

• Obtained a Ph.D or Doctorate in disciplines such as Bioinformatics, Computational Biology, Health Informatics, Data Science, Computer Science, IT, or a closely related field.
• 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 "NexGen data and metagenomic analyses".

Experience/Skills

• Proven track record of research productivity and publication in reputable journals.
• Experience in supervising postgraduate students.
• Familiarity with academic programs and course design.
• Experience in scientific programming, especially Python language 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 sequence, genotyping, or expression data), data mining, and data analysis.
• Initiation/implementation, troubleshooting, and maintenance of bioinformatics software.
• Ability to work effectively in a collaborative team environment.

Preferred Qualifications

as above