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Research Assistant (Pathogen Genomics)

NUS Saw Swee Hock School of Public Health

Singapore

On-site

SGD 40,000 - 55,000

Full time

Today
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Job summary

A leading public health school in Singapore is seeking a Research Assistant to perform pathogen genomic analysis of the liver fluke Opisthorchis viverrini. The selected candidate will collaborate with experts and contribute to innovative research. This full-time, 12-month role is ideal for individuals aspiring to develop their skills in bioinformatics and parasitology, and potentially pursue a PhD in the future. Candidates will gain hands-on experience and contribute to important scientific work.

Qualifications

  • Experience generating and/or analysing genomic sequence data.
  • Strong analytical and data management skills.
  • Excellent written and verbal communication.

Responsibilities

  • Analyse whole-genome sequences of parasitic organisms.
  • Develop bioinformatic pipelines for next-generation sequence data.
  • Collaborate with epidemiologists and public health specialists.

Skills

Data management skills
Analytical skills
Excellent written communication
Excellent verbal communication
Organizational skills
Time management

Education

Bachelor's or Master's degree in Genetics or related fields

Tools

R
Python
Unix scripting
Job description
Job Title

Research Assistant (Pathogen genomics)

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant (Pathogen genomics)

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time Research Assistant (or Associate) to undertake pathogen genomic analysis. The selected candidate will analyse whole-genome sequence data from the parasitic liver fluke Opisthorchis viverrini; a significant neglected tropical disease (NTD) within Southeast Asia. There is also the opportunity to contribute to parasitological fieldwork or primary data collection in Thailand or Lao PDR. The role is offered for 12 months in the first instance, with the possibility of extension.

This role offers the opportunity to contribute to cutting-edge research, collaborate with experts, and work on other infectious disease analyses. It would be an excellent role for an enthusiastic candidate looking to develop their skills in bioinformatics and evolutionary genomics, with an interest in parasitology, NTDs, and global health. It could also serve as a valuable foundation for candidates planning to apply for PhD programmes in the future.

Job scope
  • Analyse whole-genome sequences of parasitic organisms and develop or apply evolutionary models.
  • Develop bioinformatic pipelines for next-generation sequence data, including mapping to a reference genome and variant calling.
  • Collaborate with epidemiologists, public health specialists, and parasitologists at NUS and other institutions, particularly in Thailand and Lao PDR.
  • Assist with primary data collection and overseas fieldwork in rural locations, for instance in Thailand or Lao PDR.
  • Review the latest research on parasite biology, pathogen genomics, and evolutionary ecology regularly.
  • Contribute to peer-reviewed publications and other outputs, including as lead author.
  • Contribute to drafting major grant proposals and lead in drafting small grant proposals.
  • Disseminate research findings through presentations at international conferences and meetings with key partners.
  • Contribute to the broader research community through journal and grant reviews.
  • Participate in mandatory NUS training, and keep abreast of advancements in research methods through attending external workshops or training courses.
Requirements
  • Experience generating and/or analysing genomic sequence data.
  • Strong analytical and data management skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a team.
  • Strong organizational skills and time management.
Preferred knowledge and experience
  • Experience with statistical software (e.g., R) and/or programming languages (e.g., Python or Julia).
  • Experience with command line interface (bash/Unix scripting).
  • Experience with molecular biology assays to generate genetic/genomic data.
  • Experience participating in ecological or epidemiological fieldwork or data collection.
  • Experience working, living or travelling in Southeast Asia, particularly in Thailand or Lao PDR.
Qualifications
  • Bachelor's or Master's degree in Genetics, Molecular Biology, Ecology, Parasitology, Microbiology, Epidemiology, Statistics, or closely related fields.
Application documents
  • Cover letter highlighting career goals and relevant experience.
  • Curriculum Vitae, containing details of three named referees.
More Information

Location: Kent Ridge Campus

Organization: Saw Swee Hock School of Public Health

Department : Saw Swee Hock School of Public Health

Employee Referral Eligible: No

Job requisition ID : 31561

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