Research Fellow, Population and Global Health [LKCMedicine] at Nanyang Technological University Singapore

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Genomic Data Analysis, Statistical Analysis, Pipeline Development, Bash, R, Python, Nextflow, Molecular Epidemiology, Transcriptomics, Proteomics, Electronic Health Records, Data Quality Control, Research Protocol Writing, Scientific Communication, Mentoring

Industry

Education Administration Programs

Description

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities. The PRECISE-SG100K is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment, and consists of whole genome sequences, comprehensive behavioral, phenotypic, and multi-omic data, and electronic health record linkage. The study represents a state-of-the art platform for researchers to understand the etiology and pathogenesis of diverse disease outcomes in Asia, and to generate insights that have the potential to improve health outcomes for Asian populations globally. The PRECISE-SG100K study is led by Professor John Chambers, the Toh Kian Chui Professor of Cardiovascular Epidemiology and Programme Director of the Population and Global Health Research Programme at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University. Professor Chambers is also the Chief Scientific Officer for the National Precision Medicine Programme. The group research programme aims to identify the molecular mechanisms underlying diabetes and premature cardiovascular disease in Asian populations, and to translate these findings into new approaches for improved prevention and early detection of these major chronic diseases. We are seeking a Research Fellow to support large-scale genomic data analysis and the generation of community resources for PRECISE-SG100K. The role involves pipeline development, data analysis, and documentation of analytical protocols, working within a leading interdisciplinary team of epidemiologists, geneticists, and computational biologists. The appointee will play a key role in supporting both Professor Chambers’ and the team, mainly in, but not limited to, the following roles: Developing statistical analysis plans for large-scale genomic data analyses in Asian Populations. Building and maintain scripts and orchestrated pipelines. Leading and contributing to the writing of research protocols, and publications in peer-reviewed journals. Liaising with researchers from collaborating institutes. Presenting at international conferences. Critically reviewing the work of other members of the research team and mentoring less experienced members as necessary. Contributing to data pipeline and administration, which may include data clean, linkage, and quality control Key Competencies and Requirements: PhD in a relevant area (e.g. epidemiology, biostatistics). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Expertise in molecular epidemiology (genomics, transcriptomics, proteomics, etc. ) Expertise in coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Strong communication (oral and written) and interpersonal skills, experience working in a large research group is desirable. Fluent in spoken and written English. Ability to work independently and collaboratively, with a pro-active and motivated mindset. Hiring Institution: LKC A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Responsibilities

The Research Fellow will support large-scale genomic data analysis for the PRECISE-SG100K cohort study, focusing on developing statistical analysis plans and building/maintaining analytical pipelines for Asian populations. Key duties include contributing to research publications, presenting findings, and mentoring junior team members.