Bioinformatics Research Associate: Cancer Genomics

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The Lee Kong Chian School of Medicine seeks a Research Associate to support bioinformatics research focused on cancer genomics and cancer screening. The role involves analysing genomic and clinical data and contributing to the development of cancer survival prediction models, with collaboration across an NTU-Imperial partnership environment.

Applicants should hold a Master’s degree in Bioinformatics or related field, have experience in genomic data analysis and statistics, and be proficient in R

Qualifications

• Masters or equivalent in Bioinformatics or related field.
• Experience in bioinformatics or genomic data analysis.
• Familiarity with cancer genomics and statistical methods.
• Strong written and oral communication skills.
• Proficiency in R or Python for data analysis and visualization.
• Analytical and problem-solving skills with attention to detail.
• Ability to work independently and collaboratively.

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.

Skills

Bioinformatics

R/Python

Data analysis

Communication

Time management

Education

Master's degree in Bioinformatics

Tools

R

Python

Job description

The Lee Kong Chian School of Medicine seeks a Research Associate to support bioinformatics research focused on cancer genomics and cancer screening. The role involves analysing genomic and clinical data and contributing to the development of cancer survival prediction models, with collaboration across an NTU-Imperial partnership environment.

Applicants should hold a Master’s degree in Bioinformatics or related field, have experience in genomic data analysis and statistics, and be proficient in R