Research Fellow, Fetal Immune System - Department of Obstetrics and Gynaecology

15 Mar 2023
End of advertisement period
14 Apr 2023
Contract Type
Fixed Term
Full Time

Job Description

The National University of Singapore invites applications for a Research Fellow specialising in the analysis of immune cells/tissues from human fetal and adult samples (blood and tissues), in the Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine. The successful candidate would work in the Translational Immunology Institute, SingHealth and Duke NUS, where the Principal Investigator (Professor Ginhoux) holds an Adjunct Associate Professor position. The appointment will be on a 12-month contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure successful research outcomes. The successful candidate’s duties will include but are not limited to analyses of immune cells/tissues from human fetal and adult samples (blood and tissues).

Main Duties and Responsibilities

The successful candidate will undertake research aimed at better understanding the fetal immune system and its unique biology compared to the adult immune system.

The research fellow would be able to:

  1. Be adept in immunological technologies as well as single cell RNA-seq pipelines and analysis (basic bioinformatic level)
  2. Lead and work independently to ensure the smooth day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, recruitment, data collection at hospitals/participants’ homes;
  3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
  4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project
  5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures; 
  6. Assist with any other duties of a similar nature that are delegated by the PI.


The applicant should minimally possess the following:

  • PhD in Biomedical Sciences/ Immunology
  • Strong background in immunological technologies as well as single cell RNA-seq pipelines and analysis (basic bioinformatic level)
  • Expertise in flow cytometry and/or mass cytometry is required
  • Team player and able to work independently
  • Strong interpersonal and strong (written and spoken) English communication skills

Please submit your application supported by a detailed CV (indicating current/expected salary, including personal particulars, academic and employment history, and complete list of publications/oral presentations, information on years of experience in research & laboratory work and full contact information of 3 referees)

Remuneration will be commensurate with the candidate’s qualifications and experience.

We regret to inform you that only shortlisted candidates will be notified.

COVID-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required. 

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department: Obstetrics & Gynaecology
Employee Referral Eligible: No

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