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 for more information on Dr Pitt\'s research.

Interested applicants should include the following documents in the job application * Curriculum Vitae (CV)

• Summary of past research experience
• At least 2 referees including their name, contact information (email) and relationship to applicant

• 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

• 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

Times Higher Education