Research Assistant - Bioinformatician (Cancer Science Institute)

The Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. 

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data

• Designing and conducting computational experiments to evaluate the performance of machine learning models

• Collaborating with other researchers to interpret results and translate findings into clinical applications

• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/  for more information on Dr Pitt’s research.

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field

• Strong programming skills in Python, R, or other relevant languages

• Strong mathematical and/or statistical background

• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

• Excellent analytical and problem-solving skills

• Good written and communication skills

Interested applicants should include the following documents in the job application