Job Description
Job Title:  Research Assistant (Mechanobiology Institute)
Posting Start Date:  18/07/2025
Job Description: 

Job Description

 

The Mechanobiology Institute is seeking to recruit a Research Assistant to work with MBI Fellow Dr. Tee Yee Han on a multi-scale investigation, from molecules to cells to tissue, of the mechanism underlying the emergence of left-right asymmetry in life forms. This question is central to development and has unexplored applications. This is an excellent entry-level job for candidate with interest for postgraduate study and/or to develop experimental skillsets in cellular imaging, micropatterning and image analysis. The successful candidate will work closely with the Dr. Tee to design and execute experiments and also to help to develop image analysis toolkit.

The selected candidates duties and responsibilities will include:

  • Cell culture assays: transfections, knockdown, immunofluorescence staining
  • Microfabrication and micropatterning
  • Microscopy: confocal, live-cell imaging and super-resolution microscopy
  • Image analysis
  • Assist in laboratory administrative tasks including procurement, reporting and laboratory safety

Qualifications

  • A Bachelor’s degree in life sciences, biophysics, or related disciplines
  • Candidates without formal experience are welcome to apply, especially those with the intention to pursue graduate studies in future
  • (Advantageous) Experience with deep-learning based image analysis and programming languages such as Python and MATLAB
  • (Advantageous) Highly motivated and willing to learn

 

Salary and benefits are commensurable to educational qualifications and working experience of the candidates.

 

Applications should include a full CV, with the names and contacts (including email addresses) of two referees. Locals (Singaporeans) are highly encouraged to apply. We regret that only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Mechanobiology Institute

Department : Research

Employee Referral Eligible: No

Job requisition ID : 29720