Research Associate - Bioinformatics and Cancer Genomics

About the role

The Lee Kong Chian School of Medicine (LKCMedicine) is looking for a Research Associate to support bioinformatics research, with particular focus on cancer genomics and cancer screening. The role centres on analysing genomic and clinical data and supporting the development of cancer survival prediction models.

Key responsibilities

• Analyse and interpret cancer genomic and associated clinical data using bioinformatics and statistical methods.
• Perform data cleaning, quality control and integration, and maintain reproducible analysis scripts and records.
• Assist in developing and evaluating survival prediction models for breast cancer research.
• Provide day-to-day bioinformatics support to the PhD student, including analyses and figures for thesis completion and defence.
• Work with the research team to prepare grant proposals, figures, reports and manuscripts, and communicate findings.

Required profile

• Masters or equivalent qualification in Bioinformatics, Data Science, Computational Biology, Genomics, Biostatistics or a related field.
• Experience in bioinformatics or genomic data analysis through coursework, research projects or employment.
• Familiarity with cancer genomics and statistical methods.
• Entry-level candidates are welcome to apply.

Required skills

• Proficiency in R or Python for data analysis and visualisation.
• Good written and oral communication skills.
• Analytical and problem-solving skills with attention to detail.
• Ability to work independently and collaboratively, with good organisational and time management skills.