NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Statistical Analysis

Location
Singapore
Posted
23 Jun 2022
End of advertisement period
21 Jul 2022
Ref
7847044
Contract Type
Fixed Term
Hours
Full Time

Job Description

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

Research Fellow (Statistical Analysis) x 1 (1 year minimum, up to 3 years)

A research fellow position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of statistics and behavioural science with focus on the use of intensive longitudinal data. The position will focus on data analyses of Ecological-Momentary Assessment (Experience Sampling) data derived in observational and intervention studies using wearables and smartphone technologies.

The research fellow will work closely with members of different research programmes:

  • The Physical Activity and Nutrition Determinants in Asia (PANDA) research programme: https://blog.nus.edu.sg/sphpanda/ PANDA is one of the major research programs of the SSHSPH including faculty members from a variety of disciplines. PANDA aims to understand determinants of nutrition and physical activity Behaviors in Asian populations and develop interventions to improve these behaviours and contribute to the prevention of non-communicable diseases and mental well-being.
  • Continuous Observations of Behavioural Risk Factors in Asia (COBRA) study: https://blog.nus.edu.sg/sphpanda/research-projects/cutting-across-area-2-and-area-3/cobra/ COBRA is a sub-cohort of SG100k. It involves 1500 middle aged adults to understand the interactions between behavioural and environmental factors and how these relate to health. Specifically, using wearable sensors, mobile phone applications and spatial analysis, the cohort aims to identify behavioural and environmental determinants of lifestyle risk factors, which inform the design of personalised lifestyle interventions.
  • Future Health Technologies – Mobile Interventions: https://fht.ethz.ch/research/mobile-health-interventions.html FHT Module 2 applies the Multiphase Optimisation Strategy to identify and overcome individual, cultural, legal and organisational barriers and identify facilitators for the successful implementation of interventions in Singapore. The program develops smartphone-based interventions for the prevention of type-2 diabetes mellites and the promotion of mental well-being.
  • In performing the data analyses, the candidate will have the opportunity to conduct methodological research in biostatistics or healthcare analytics.

Major duties and responsibilities of the position include taking the lead in major analyses, and guiding junior analysts and researchers in managing, extracting, analysing data from different Ecological-Momentary Assessment studies. In addition, the candidate is expected to lead the publication of results and findings in peer-reviewed journals. Furthermore, he/she will need to contribute to development and writing of research grant proposals.

Candidate must be a mature, solution-oriented thinker and doer who is well-organized and has an eye for details. Candidate must possess excellent written and verbal communication skills. He/she must possess good interpersonal skills and the ability to work effectively with colleagues to achieve team goals. As such, the candidate is expected to be technically capable, hardworking and able to work independently and as a team.

Proficiency in the following areas is essential:

  1. Use of scripting languages (e.g., Perl, Python, R) to manage, process and analyse large datasets in Unix/Linux environment.
  2. Use of the statistical software R.
  3. Use of multiple data analytics tools and able to learn new tools as required.
  4. Good understanding of the theory behind the data analytics tools which facilitates the conversion of raw data into useful information that addresses the research question.

Qualifications

The successful applicant is expected to possess at least a PhD in statistics, bioinformatics, computer science or mathematics.

More information

Recruitment is open immediately, and will continue until the position is filled.

For further enquiries, please contact Dr Tan Chuen Seng at ephtcs@nus.edu.sg or Dr Falk Mueller-Riemenschneider at falk.m-r@nus.edu.sg.

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 presences are required.

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

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