Research Assistant – Bioinformatician (Cancer Science Institute)

Organisation/Company

NATIONAL UNIVERSITY OF SINGAPORE

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Singapore

Application Deadline

14 Feb 2024 – 00:00 (UTC)

Type of Contract

Other

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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

• Curriculum Vitae (CV)
• Summary of past research experience
• 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

Requirements
Additional Information
Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/363156/research-assistant-…

STATUS: EXPIRED