Research Assistant (Biofilms in Urban Waterways)

Updated: 4 months ago
Job Type: FullTime
Deadline: 25 Jun 2023

27 May 2023
Job Information

Research Field

Biological sciences
Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Application Deadline

25 Jun 2023 - 00:00 (UTC)
Type of Contract

Job Status

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Job Description

The Singapore Centre on Environmenal Life Science Engineering (SCELSE), a Research Centre of Excellence, National University of Singapore, is looking for a Research Assistant for the project on biofilms in urban waterways .

We seek a highly motivated and organized applicant with a background in life sciences and/or molecular biology, and preferably with experience working with environmental microbiomes. The position is within a multi-disciplinary research team which broadly pursues microbial diversity and physiological investigations in urban waterways.

The full-time Research Assistant will be expected to participate in ongoing research projects and oversee daily operation of the lab and procurement for the team. Projects in the lab  utilize the following techniques: field water and sediment sampling, next-generation sequencing and genotyping, microscopy, flow cytometry, advanced computations and cell sorting and metabolomics,  analytical instruments such as Inductively coupled plasma – mass spectrometry (ICP-MS) and Ion Chromatography (IC). A component of the job will also include assisting and conducting field work from locations around Singapore.


The ideal applicant should have:

  • a degree in life sciences or related field, specialization either in soil sciences and/or microbiology preferably including -omics approaches.
  • experience with analytical instruments, PCR, cloning and other nucleic acid or metabolites manipulation is desirable.
  • basic Microsoft skills in Word, Excel, Powerpoint, Ability to use statistical software (such as R and Python) will be an advantage.
  •  strong organizational skills and communication skills, both written and oral.
  • the ability to work well with others in a collaborative team environment.

Responsibilities will include:

  • active participation in research projects;
  • ordering and maintaining equipment and supplies; 
  • assisting in project related administration (e.g. budgeting, claims, reports) and operations to facilitate smooth conduct of research work; and
  • assist in data analysis, preparing figures, tables and reports.

More Information

Location: Kent Ridge Campus
Organization: Life Sciences Institute
Department : Research & Programmes
Employee Referral Eligible: No
Job requisition ID : 19537

Additional Information
Where to apply

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