Computational Scientist

2 weeks ago

Singapore A*star Research Entities Full time

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A.STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A.STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-omics, perturbation screening and imaging data. These data science capabilities will form the core stength of the Research Data Integration group to support large-scale biomedical data analysis and multi-modal integration to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work with a team of clinicians, wet-lab scientists and computational biologists to discover new biology and clinical insights through data science. The candidate is also expected to contribute to high impact publications and manage large-scale projects, include data management.

Requirements

. PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.

. Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook)

. Familiarity with Unix/Linux environment and cloud architecture

. Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI modeling.

. A background in life sciences, biology or biomedical informatics is preferred.

. Strong analytical and problem-solving skills.

. Excellent oral and written communication and presentation skills.

. Able to work independently, and as part of a team

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.

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