Research Assistant (Quantitative)

Updated: 2 months ago
Job Type: FullTime
Deadline: 06 Mar 2024

6 Feb 2024
Job Information
Organisation/Company

NATIONAL UNIVERSITY OF SINGAPORE
Research Field

Mathematics
Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)
Country

Singapore
Application Deadline

6 Mar 2024 - 00:00 (UTC)
Type of Contract

Other
Job Status

Full-time
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?

No

Offer Description

Job Description

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

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health. They will be working within the team under the Principal Investigators Associate Professor Alex R Cook and/or Assistant Professor Borame Dickens.
Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications. We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities

  • Disease modelling
  • Statistical analyses
  • Academic writing and publication of results
  • Preparation of meeting materials for stakeholders

Qualifications

Requirements:

  • Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
  • Strong programming skills (R preferred)
  • Statistical competence (Bayesian is advantageous)

Requirements
Additional Information
Where to apply
Website

https://www.timeshighereducation.com/unijobs/listing/364835/research-assistant-…

STATUS: EXPIRED

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