Asst Professor Marie Loh is an Assistant Professor in the Lee Kong Chian School of Medicine at Nanyang Technological University, Singapore and Honorary Senior Lecturer at Imperial College London. Asst Prof Loh is a molecular epidemiologist with a long-standing interest in the role of genetics and epigenetics underlying ethnic differences in risk and outcome observed in complex diseases. She has received several awards for her work in transethnic studies including the ASHG/Charles J. Epstein Trainee Award for Excellence in Human Genetics Research (Semi-finalist) and the Young Investigator Award by the International Association for the Study of Lung Cancer (IASLC). She has contributed to publications in journals such as Nature Genetics and Nature and is involved in multiple local and international collaborations.
She is shortlisting a Research Fellow who is competent in the analyses of methylome sequencing (whole and targeted) data, with the purpose of improving early identification and risk stratification of individuals with respect to cardiometabolic diseases (e.g. diabetes, atherosclerosis, CVD) in Asian populations.

KEY COMPETENCIES AND REQUIREMENTS:

• PhD in a related area, e.g., Bioinformatics/Computational Biology/Life Sciences/Computer Sciences/ /Biostatistics.
• Experience with R/Python/Java or similar languages and with Unix based platforms
• Experience working in a Cloud environment e.g. AWS
• Knowledge of next generation sequencing, in particular methylation, population (epi)genetics, statistics, bioinformatics or high dimensional data analysis
• Demonstrated in-depth knowledge, skills and expertise, with capability of leadership and achieving research excellence
• Excellent trouble shooting, organization skills, and problem-solving skills are also required as well as the ability to work in a team environment.
  Training will be provided to level the skillsets needed to perform these roles.
  Hiring Institution: LK

• Develop, optimize and maintain bioinformatics tools and pipelines related to next-generation methylation sequencing
• Perform sequence and data analysis related to next-generation methylation sequencing
• Apply quantitative research techniques which include accurate in-depth assessment, interpretation and evaluation of large-scale omics datasets, including next generation sequencing and arrays based data sets, with a specific focus on methylation data
• Dissemination of research results to the group, key stakeholders, wider biomedical research community
• Provide guidance and mentorship to junior researchers, undergraduate and graduate students, occasional educational and or instructional activities
• Perform other related duties incidental to the work described herein (e.g. present at lab meetings, attend meetings with collaborators etc.)
• Liaise with research colleagues and support staff internally as appropriate to the research to improve research quality
• Assist in co-ordination and organisation of meetings, taking down summary of meetings, seminars, lectures, talks and workshops and to attend and contribute to relevant meetings