Research Associate

2 weeks ago


Singapur, Singapore NATIONAL UNIVERSITY OF SINGAPORE Full time

Interested applicants are invited to apply directly at the NUS Career Portal Your application will be processed only if you apply via NUS Career Portal We regret that only shortlisted candidates will be notified. Job Description The National University of Singapore invites applications for a Research Assistant in the Division of Allergy & Immunology at the Department of Paediatrics, Yong Loo Lin School of Medicine . We are seeking a highly motivated individual to join our dynamic team, working on clinical translational research in vaccine immunology. This position offers a stimulating and intellectually enriching environment, providing opportunities for professional growth and development. Appointments will be made on an annual contract basis in the first instance, with the possibility of extension. Purpose of the post The Research Assistant will be responsible to, and collaborate with, the Principal Investigator and study team members to conduct various research projects in the field of Paediatric Vaccine Immunology to achieve high quality and impactful deliverables. Specific roles include inventory keeping for reagents and clinical samples, design and conduct of immunological experiments and data analysis. Main Duties and Responsibilities The Research Assistant will be involved in conducting laboratory assays under the supervision of the Research Fellow (RF) and will be accountable to the Principal Investigator (PI). The duties include but are not limited to: Routine lab work and maintenance Molecular biology work Tissue/Cell culture Immunological work eg ELISA, flow cytometry Qualifications The applicant should: Have a Bachelors in biochemistry, molecular & cell biology, bioengineering, biomedical science or a related field; Have at least 2-3 years of working experience; Have some experience in molecular biology, immunological techniques and tissue/cell culture; Be able to work independently and in a team, have an investigative nature, attention to detail, self-motivated with initiative; Have outstanding organizational skills and interpersonal skills; Have some previous exposure to data analysis platforms such as GraphPad Prism, FlowJo, R or Python Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Yap Gaik Chin, at Formal application : Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS career portal. We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr



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