Research Assistant (Infectious Disease Modelling)

National University of Singapore

Singapore
Permanent
Full-time

20 days ago
Apply easily

Job DescriptionApplications 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 refereesFor further enquiries, please contact Dr Kiesha Prem at ephkp@nus.edu.sg.Qualifications

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

More InformationLocation: Kent Ridge CampusOrganization: Saw Swee Hock School of Public HealthDepartment : Saw Swee Hock School of Public HealthEmployee Referral Eligible: NoJob requisition ID : 24370

National University of Singapore