Job Description

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

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)

2. Summary of past research experience

3. At least 2 referees including their name, contact information (email) and relationship to applicant

Job Description

• 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

Qualifications

• 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