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About the Role

Join the Precision Radiotherapeutics and Oncology Programme and the Data and Computational Science Core at the National Cancer Centre Singapore. Contribute to multi-omics research and big-data analysis infrastructure, integrating various data types to develop biomarkers for predicting patient responses to cancer treatment.

Responsibilities

• Optimise genomic, transcriptomic, and radiomic data-processing and statistical-analysis pipelines.
• Perform feature engineering for statistical modelling, machine learning, and deep learning.
• Conduct survival analyses and other relevant computational analyses to understand cancer progression and treatment resistance.
• Contribute to and guide research discussions with scientists and clinical collaborators.

Requirements

• A postgraduate degree, at least at the master’s level, in bioinformatics, quantitative or computational biology, data science, computer science, or a related field.
• Highly motivated, organised, meticulous, and committed to maintaining high-quality standards.
• For PhD holders, at least two years of experience in analysing multi-omics data, such as whole-exome sequencing and RNA-sequencing data, and clinical data using statistical methods, classical machine learning, deep learning, and language models.
• Prior experience in data curation, cleaning, organisation, and management.
• Proficiency in Python, R, or another relevant programming language.
• Demonstrable data analysis skills with a portfolio on relevant datasets (e.g. TCGA, Kaggle).
• Familiarity with command line shells (e.g. bash, zsh).
• Prior experience working with high-performance computing clusters and job schedulers.
• Knowledge and experience in biostatistical analyses of clinical datasets.
• Knowledge and experience in multi-omics analyses (e.g. analyses of WES, RNASeq data).
• Able to work independently under pressure as well as in a team.
• Strong organizational, interpersonal and presentation skills.
• Responsible, analytical and self-confident with a mature personality.
• Keen interest to solve clinical problems.

Skills

• Python
• R
• Statistical methods
• Classical machine learning
• Deep learning
• Language models
• Data curation
• Data cleaning
• Data organisation
• Data management
• Bash
• Zsh
• High-performance computing
• Job schedulers
• Biostatistical analyses
• Multi-omics analyses
• WES analysis
• RNASeq analysis

Location

• National Cancer Centre Singapore

Work Type

• Full-time

Experience Level

• At least two years of experience (for PhD holders)

Education Level

• Master’s degree or higher

About the Company

• The National Cancer Centre Singapore is a leading institution in cancer research and treatment.