The Centre for Biomedical Data Science at Duke-NUS Medical School is seeking outstanding candidates to join our talented team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world-class academic medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. We collaborate closely with the Singapore Health Services cluster, a network of national specialty disease centres, hospitals, and polyclinics, to advance medicine and improve lives through cutting-edge research and education.
The successful candidate will perform a variety of research activities under the supervision of the Principal Investigator.
Responsibilities:
- Implement analysis pipelines and machine learning algorithms to analyse high-throughput genomic data, biobank data, and clinical data.
- Write high-quality technical and methodological reports or research papers.
- Attend project meetings and present research outcomes.
- Collaborate on multiple projects within the lab.
- Perform other academic duties as required by the Principal Investigator.
Job Requirements:
- Bachelor's or Master's Degree in statistics, biostatistics, bioinformatics, computational biology, data science, computing, or related areas with strong mathematical knowledge.
- Possess strong computational skills in high-performance computing (HPC) environments and proficiency in a Linux environment and programming languages such as R, Perl, Python etc.
- Prior experience in high-throughput genomics and sequencing data analysis, and/or machine learning.
- Have strong teamwork skills and the ability to work harmoniously with a diverse workforce.
- An interest in applying statistics to solve real-world medical problems.
