Research Assistant (CBDS/EP)

National University of Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

National University of Singapore is seeking a Research Assistant/Associate to join a project integrating multi-omics analysis with machine learning for drug target discovery at Duke-NUS CBDS. You will perform data analysis, develop ML/AI algorithms, and apply single-cell/spatial transcriptomics. Collaboration with the Systems Genetics group under Prof.

Petretto, in Outram Campus, Singapore. Candidates with strong coding in R/Python and HPC experience are encouraged to apply.

Qualifications

• Bachelor's or Master's in bioinformatics, computational biology, ML/AI, CS, physics, statistics, mathematics, biology or medicine.
• Experience developing/applying algorithms for multi-omics data integration.
• Proficiency in R and/or Python with exposure to Bash and multiprocessing.
• Familiarity with HPC and GPU programming.
• Strong teamwork and ability to manage multiple priorities in a diverse environment.
• Solid understanding of genetics and genomics (desirable).

Responsibilities

• Perform tasks and support all aspects of the research project.
• Carry out data analysis and algorithmic development, including single-cell and spatial transcriptomics.
• Implement state-of-the-art ML/AI improvements for multi-omics analyses.
• Develop deep learning algorithms, from theory to implementation, for drug target discovery.

Skills

Teamwork

Prioritization

Communication

Education

Bachelor's degree

Master's degree

Tools

R

Python

Bash

GPU programming

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description

We are looking for a highly motivated and skilled Research Assistant or Research Associate to join a project that integrates multi-omics analysis with machine learning and AI, with applications to target discovery. The selected candidate will work on one or more research projects of the Systems Genetics group led by Professor Petretto (Principal Investigator). This project(s) will be conducted in the Centre for Biomedical Data Science (CBDS) at Duke-NUS Medical School.

The selected candidate will perform a range of research activities focused on developing and applying computational biology, advanced bioinformatics and systems genetics for drug target discovery, as well as new ML/AI algorithms for discovery in complex diseases such as chronic kidney disease, idiopathic pulmonary fibrosis, or heart failure. Under the supervision of the Principal Investigator or his designate, the candidate's responsibilities will include but are not limited to the following:

• Perform tasks and support all aspects of the research project.
• Carry out data analysis and algorithmic development, including (but not limited to) single-cell and spatial transcriptomics.
• Implement state-of-the‑art algorithmic improvements from recent literature in ML/AI integrative multi‑omics analyses.
• Develop new deep learning algorithms, from theory to experimental implementations, or adapt/integrate existing ones to problems in drug target discovery.

Job Requirements

• Bachelor's / Master's Degree in a related scientific area (e.g., Bioinformatics, Computational Biology, ML/AI, Computer Science, Physics, Statistics, Mathematics, Biology, Medicine) with demonstrated hands‑on experience in developing and/or applying algorithms for multi‑omics data integration. Candidates with higher credentials may be considered for Research Associate appointment.
• Proficiency in R and/or Python coding, with exposure to bash and multiprocessing environments.
• Familiarity with high‑performance computing (HPC) environments and GPU programming.
• Strong teamwork skills with the ability to manage multiple priorities and thrive in a diverse work environment.
• A solid understanding of genetics and genomics is desirable.

We regret that only shortlisted candidates will be notified.

More Information

Location: Outram Campus

Organization: Duke-NUS Medical School

Department : Office of Research

Employee Referral Eligible: No

Job requisition ID : 34591