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 skin 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 highly motivated research officer to drive data management, analysis and integration of large-scale and diverse multi-omics (genomics, transcriptomics, proteomics, metabolomics, lipidomics) and clinical data related to cancer and other diseases. The candidate will be expected handle a variety of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop data integration platforms comprising of file catalogues, databases, knowledge graphs and visualization of datasets through interactive dashboards, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine publicly available resources and link up with our datasets. The candidate will also manage and maintain all data based on necessary security requirements. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to a diverse group of stake-holders including clinicians and wet-lab scientists. There are also many opportunities to apply AI/ML to all the tasks and data to drive efficiency and uncover new insights.

Requirements:

• Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Analytics, Engineering, Genetics or a related field.
• At least 5 years of relevant experience.
• Strong programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Highly experienced with Unix/Linux environment and cloud architecture (AWS).
• Familiar with bioinformatics, database development (structured and unstructured, SQL), visualization tools, AI/ML and other big data technologies.
• Experience with large datasets and knowledge in data management and data standards.
• Understanding of biological concepts and methodologies relevant to multi-omics data and cancer.
• Strong analytical and problem-solving skills, and attention to detail.
• 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 for new methodologies and technologies.
• 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.