Research Assistant

3 weeks ago


Singapore National University of Singapore Full time
Job Description

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

Research Assistant (Infectious Disease Modelling)

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of innovative human papillomavirus (HPV) vaccination strategies and other infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
. To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals
. To develop and extend mathematical and economic models of HPV vaccination and other infectious diseases.
. To support ethics applications
. To contribute to peer-reviewed publications and other outputs, including as lead author
. To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
. Contribute to drafting grant proposals and co-authoring publications.
. To review the latest research on HPV vaccination and HPV-related diseases regularly.
. To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
. To contribute to the broader research community through journal and grant reviews.
. To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
. Experience with quantitative research, preferably related to infectious disease modelling.
. Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
. Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++).
. Excellent written and verbal communication skills.
. Ability to work independently and collaboratively within a team.
. Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
. Experience contributing to research grant applications.
. Experience with teaching and assessment (desirable but not essential).
. Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
. Experience with data analysis using statistical inference techniques.
. Experience with health economic evaluations.
. Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate's academic qualifications and years of relevant experience.

Applicants should submit the following documents by 15 May 2024:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem at [HIDDEN TEXT].

Qualifications

. Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.

Department : Saw Swee Hock School of Public Health

Employee Referral Eligible: No

Job requisition ID : 24370



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