Research Assistant (Infectious Disease Modelling) Research Assistant (Infectious Disease Modelling) National University Of Singapore, Central Region The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore Company description: The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore Job description: 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 . Qualifications • Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science. More Information Location: Kent Ridge Campus Organization: Saw Swee Hock School of Public Health Department : Saw Swee Hock School of Public Health Employee Referral Eligible: No Job requisition ID : 24370 Company information Registration No. 200604346E Report this job advert Don't provide your bank or credit card details when applying for jobs. #J-18808-Ljbffr
