Job Description

The Duke-NUS Centre for Computational Biology provides a nucleus for expertise in computational biology to study key questions in biomedical research.

We are looking for a dynamic Research Fellow with knowledge and research skills in adipose tissue macrophage biology to join the laboratory of Associate Professor Jacques Behmoaras.

The selected candidate will perform a variety of research activities within the overall scope of a research project under the supervision of the Principal Investigator or his designate, including but not limited to the following:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Computational Biology or Bioinformatics with relevant research experience and training.
• Possess knowledge of the scientific background relevant to the research area and laboratory experimental skills, where applicable.
• Have a system-level understanding of human pathology and laboratory expertise in data integration and interpretation.
• Proven track record in the form of high impact publications.
• Demonstrated capability of research independence progressively.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.