Research Assistant – Bioinformatician (Cancer Science Institute)

tendersglobal.net


16 Jan 2024
Job Information
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

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