Research Assistant/Associate, Data Science/ Artificial Intelligence

Research Assistant/Associate, Data Science/ Artificial Intelligence page is loaded

Research Assistant/Associate, Data Science/ Artificial Intelligence Apply locations NTU Novena Campus, Singapore time type Full time posted on Posted 26 Days Ago job requisition id R00021366

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School's primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are seeking highly motivated individuals with a strong interest in cancer to join the research team under Assoc Prof Joanne Ngeow Yuen Yie. The Research Assistant/Research Associate will play a key role in technical and scientific work of unifying large scale genomic (WGS, GWAS, long read) and non genomic (EHR, lifestyle, clinical) data from multiple Asian cohorts. The position focuses on data harmonisation, statistical genetics, and developing and validating machine learning cancer risk models.

Key Responsibilities:

• Data harmonization – Ingestion, clean and merge heterogeneous genomic and phenotypic datasets

• Statistical genetics -- Perform GWAS/WGS analyses, polygenic score construction

• Collaborative leadership — Liaise with international partners to coordinate data sharing and meta analysis efforts

• ML – Develop and validate cancer risk models

• Manuscripts and grants – Contribute to scientific publications, presentations, and grant applications.

Key Competencies and Requirements:

• Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science

• Proficiency in Python, R, or other data science languages

• Hands on experience with variant calling/QC, GWAS, polygenic score or risk model development

• Knowledge of cloud computing, and high-performance computing (HPC) environments

• Strong ability to present findings and collaborate across disciplines

Hiring Institution: LKCSimilar Jobs (5) Research Assistant/Associate, Data Science/Risk modelling/Statistical genetics locations NTU Novena Campus, Singapore time type Full time posted on Posted 26 Days AgoResearch Associate, Data Science (LKCMedicine) locations NTU Novena Campus, Singapore time type Full time posted on Posted 30+ Days AgoResearch Associate/Fellow, Learning Analytics/Machine Learning (LKCMedicine) locations NTU Novena Campus, Singapore time type Full time posted on Posted 30+ Days Ago

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).

Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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