We would like to recruit an enthusiastic and creative scientists/researchers to develop an immuno-based assay/diagnostic kit for early detection of subclinical cardiovascular disease (CVD).
CVD is the leading cause of death globally, and contributes to 1 out of every 3 deaths in Singapore. Moreover, more than half of patients suffering an acute clinical event such as heart attack or stroke don’t have any traditional risk factors such as high cholesterol, high blood pressure, or diabetes. We recently discovered a set of new pathogenic plasma biomarkers for accurate detection of subclinical CVD. A diagnostic/screening kit based on the biomarker will enable early detection of asymptomatic patients in the general population at risk of CVD for intensive medical management for primary prevention. This diagnostic kit will radically change the mortality and morbidity of CVD, reduce healthcare and socioeconomic burden and also increase the healthspan of the citizen. You are invited to join us to develop this disruptive method to reduce risk of CVD and to increase healthspan of mankind.
- Generate specific monoclonal antibodies for immunoassay (in house or with contract research organization).
- Develop an ELISA/immune-based assay/kit for venous blood biomarker detection and quantitation
- Work with clinicians and clinical collaborators to manage clinical samples and to test the diagnostic kit.
- Isolate and purify proteins from clinical tissues, animal or in-vitro models.
- Candidate with a recent M.Sc. or Ph.D. degree in biology or clinical chemistry.
- Relevant experience in ELISA, Western Blot and diagnostic kit development.
- Research experience in platelet activation and aggregation, coagulation assay.
- High creativity, enthusiasm and self-motivation.
- Must be resourceful, proactive, with a good working attitude.
- Must be able to work independently as well as in a group.
- Strong track record of productivity.
Interested applicant should send his/her CV along with a short statement of research interests to Associate Professor Siu Kwan Sze at email@example.com.