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, skin 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 dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data. These data science capabilities will form the core stength of the Research Data Integration group to drive large-scale biomedical data analysis and multi-modal integration to uncover underlying diseases biology, druggable targets and develop precision medicine approaches. The candidate is expected to scientifically build and drive national/consortium level data programs and platforms, which includes developing workflows and data management, executing multiple projects with advanced analytical approaches, drive high impact research outcomes and publications, and work effectively with multiple stakeholders. This position offers the candidate an opportunity to work with a team of clinicians, wet-lab scientists and computational biologists across multiple institutions in A*STAR, NCCS, Singhealth, NUH, NSC and MOH to discover new biology and clinical insights of various diseases, including cancer, metabolic diseases and skin diseases through data science.

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, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology and/or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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.