Computational Scientist, Research Data Integration Group, Biomedical Datahub Division, Bioinformatics Institute (A*STAR)

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.

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Job description

We are seeking a highly motivated and innovative computational scientist to lead efforts in analyzing and integrating of large-scale and diverse multi-dimensional omics (bulk and single-cell genomics and transcriptomics, proteomics, spatial omics and imaging, perturbation screens) and clinical data related to cancer. The candidate will be expected to develop analytical, statistical, AI/ML and network-based methodologies, and establish workflows for the analysis and integration of the complex datasets to uncover underlying biology and therapeutic insights and develop personalized medicine approaches. The ideal candidate will have deep expertise in computational biology, cancer omics and systems biology, with a proven track record in handling large-scale, heterogeneous omics data and driving first-authored publications. One of her key responsibilities is to perform comprehensive analysis of cancer data generated from emerging technologies e.g. long-read sequencing and high-resolution spatial transcriptomics. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and other computational experts. He/She is also expected to drive and contribute to high impact publications, presentations to multi-disciplinary stakeholders and grant proposals, and manage programmatic projects (including data management) according to the desired vision.

Requirements

• PhD in Bioinformatics, Computational Biology, System Biology, Biomedical Informatics, Computer Science, Data Science, Engineering or a related field.

• Strong programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)

• Highly experienced with Unix/Linux environment and cloud architecture.

• Experience in bioinformatics, large-scale omics and clinical data analysis, applications of AI/ML, and large databases, especially in the area of cancer.

• Knowledge in data standards and interoperability, and reproducible research practices.

• Strong analytical and problem-solving skills, and attention to details.

• Excellent oral and written communication and presentation skills.

• Able to work independently, and work collaboratively in a team environment, with a positive and enthusiastic learning attitude to stay current with advancements in new tools and technologies.

• Competent project and data management, and organizational skills.

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.