Job Description

Responsibilities:

Develop and apply computational methods to analyse diverse biological datasets, including genomics, transcriptomics (bulk, single-cell, and spatial RNAseq) and proteomics data. Leverage machine learning and AI to uncover meaningful biological patterns and build predictive models to support target identification and mechanism-of-action studies. Collaborate closely with biologists, chemists, and cross-functional scientists to prioritize novel therapeutic targets and biomarkers, design and analyse experiments, and effectively communicate findings through scientific reports and presentations. Drive and support collaborations with external partners in computational biology and AI, ensuring alignment with internal priorities and project milestones. Stay at the forefront of computational biology and AI developments, proactively implementing new methodologies to improve in-house workflows and enhance EDDC?s computational platforms.

Requirements:

PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings. Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk, single-cell, and spatial transcriptomics, proteomics, etc.) and the application of machine learning in biological research. Proficiency in Python and R, and familiarity with cloud-based and on-premises database services, APIs and workflow development frameworks. Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams. Keen to learn new techniques and adaptable to changing priorities. Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage. Industry experience in pharmaceutical or biotech companies is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Type of Employment :

Full-Time

Minimum Experience :

2 Years

Work Location :

Biopolis