Research Fellow (Healthy Longevity TRP)

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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 will focus on the study of aging biology and age-related diseases. The successful candidate should have a strong background in both mathematical/machine learning methods and biological laboratory techniques. Specifically, the successful candidate should have prior research experience in biological laboratory techniques involving cell/tissue culture, tissue samples, biochemical assays and related -omics techniques (e.g. next-generation sequencing, mass spectrometry).

He or she will also be responsible for data analysis and for developing computational models, algorithms, and tools to analyze and interpret complex biological datasets derived from -omics data. The ideal candidate will have a strong understanding of statistical and machine learning methods, as well as expertise in programming languages such as R and/or Python. Experience with invertebrate model organisms would be advantageous but training can be provided.

Main Duties and Responsibilities

1. Independently lead, design and perform experiments on research projects using invertebrate models of aging
2. Conduct literature searches, experimental plans, data analysis and assist Principal Investigator in preparing grant proposal, progress report of research project
3. Develop and apply computational models, algorithms, and tools to analyze and interpret large-scale biological data sets (e.g. genomics, transcriptomics, proteomics)
4. Collaborate with experimental biologists to design and analyze experiments, and interpret results
5. Develop and maintain databases and data pipelines for biological data and stay up-to-date with new computational methods and tools, and apply them to ongoing research projects
6. Communicate research findings through publications, presentations, and reports
7. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine)

Qualifications

The applicant should:

1. PhD degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology
2. Hands on experience and skills in standard biological laboratory techniques
3. Strong programming skills in relevant languages such as R and/or Python
4. Experience with biological data analysis and interpretation
5. Knowledge of biological systems and processes
6. Excellent communication and oral communication skills in English
7. Highly independent in data analysis and scientific writing

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Clarinda Lim at [email protected].

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 the NUS Career Portal.

We regret that only shortlisted candidates will be notified.