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Job Description
The National University of Singapore invites applications for a Research Fellow position in Professor Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.
Purpose of the post
The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and team members to investigate the effects of repurposing drugs and natural products influencing healthspan and lifespan in mice and biological clocks of ageing, work on ageing and system biology to unravel the ageing networks. The RF’s principal role will be to work on modelling, simulating, and analyzing biological processes related to ageing biology.
Main Duties and Responsibilities
The Research Fellow will liaise with the relevant personnel in the department to smooth the process of modelling, simulating, and analyzing biological data and will be accountable to the Principal Investigator (PI). The RF will be able to:
- Conduct innovative research at the intersection of AI, complex systems science, and dynamical systems related to aging. This involves formulating hypotheses, designing experiments, and analyzing data using advanced computational methods;
- Develop and implement computational models to simulate biological aging processes. This includes using techniques from physics to model complex biological systems and employing AI to predict outcomes;
- Utilize bioinformatics tools to analyze large datasets, such as lipidomic and epigenetic data, to uncover patterns related to aging and age-related diseases;
- Apply machine learning algorithms to interpret biological data, improve understanding of aging mechanisms, and potentially identify new biomarkers or therapeutic targets;
- Collaborate with interdisciplinary teams across various departments, including biologists, data scientists, and physicists, to integrate findings and methodologies. Communicate research findings through scientific publications and presentations; and
- Mentor graduate students or junior lab members, provide guidance on research projects, and contribute to the overall intellectual environment of the research group.
Qualifications
The applicant should:
- Hold a PhD in Biochemistry/Computational Biology/Bioinformatics/Physics or related disciplines;
- be able to work independently and in a team, have an investigative nature, attention to detail;
- have strong knowledge on aging biology, complex systems science, computational biology and machine learning as well as proficiency in programming languages such as Python and R; and
- have experiences in handling and combining large scale multiomics datasets.
Remuneration will be commensurate with the candidate’s qualifications and experience.
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.
