Research Assistant (Centre for Sustainable Medicine)
Date: 2 Aug 2024
Location: YONG LOO LIN SCH OF MEDICINE, Kent Ridge Campus, SG
Company: National University of Singapore
Job Description
Climate change is the defining challenge of our time, shaping the health of populations for generations to come. The National University of Singapore is tackling this crisis through its Centre for Sustainable Medicine (CoSM), working to accelerate the transition to low-carbon, climate-resilient health systems.
Purpose of the post
We invite applications for a highly motivated Research Assistant to work with the Principal Investigator and study team members to manage and conduct various research projects towards sustainable medicine, ensuring successful and timely completion of projects. This post has a specific focus on supporting the Centre’s research on understanding and quantifying the environmental impacts of health systems through the use of carbon modelling and analytics.
Main Duties and Responsibilities
The individual will be responsible for the following tasks:
- Carry out research operations and administration duties such as the preparation of grant, ethics review applications, manuscripts, reports, and other relevant documentation of study-related matters;
- Engage in a variety of research-related activities including literature searches and reviewing, preparation of research materials, participant recruitment and scheduling, and data collection, entry, analysis, and modelling in accordance with the highest research standards;
- Perform other administrative and basic project management support to the research projects, as assigned by the Director/Principal Investigator;
- Function as an effective, dynamic team player as part of the wider CoSM team.
Appointments will be made on a 12-month contract basis with the possibility of extension.
Qualifications
The applicant must:
-
- Hold a Bachelor’s degree in disciplines related to any of the following
- Environmental sciences
- Public health and health services research
- Other highly numerate subject (engineering, mathematics, physics, statistics, econometrics, or similar)
- Demonstrate a keen interest in sustainability, energy systems, climate change, and/or health services;
- Be highly numerate, analytical, and be willing to work with complex datasets;
- Be a proficient user of Microsoft Office/365, including Excel (use of functions, data tables, pivot tables, statistical analysis, data visualization, macros, etc.);
- Hold a Bachelor’s degree in disciplines related to any of the following
Qualifications
-
- Be willing to undertake further training in relevant data collection and modelling techniques;
- Be a team player with an ability to work independently;
- Be resourceful, adaptable and meticulous;
- Have excellent command of spoken and written English, with strong interpersonal and communication skills.
- The ideal applicant should also:
- Have experience working in sustainability, energy systems, life cycle analysis, and/or health services research;
- Demonstrate knowledge of statistical computing, data science, data modelling, or data visualization languages and software (e.g. PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.);
- Demonstrate knowledge of LCA databases and carbon accounting standards (e.g. Ecoinvent, EXIOBASE, SimaPro, GHG Protocol, ISO 14064, SBTi, etc.).
Application
Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Lee Hui Shuang, at hslee@nus.edu.sg.
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.
We regret that only shortlisted candidates will be notified.
More Information
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Dean-Med-Centre for Sustainable Medicine
Employee Referral Eligible: No
Job requisition ID : 25586