We are actively recruiting highly motivated post-doctoral fellows, bioinformaticians, students, interns to join our group. Interested candidates are encouraged to email a CV, past research experience and current interests to Dr. Woo.
Computational Scientist
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 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 of various diseases, including cancer, metabolic diseases, skin diseases through data science. The candidate is also expected to scientifically lead and contribute to multiple projects, drive 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, 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 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.
Research officer
Job description
We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. 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 the end-user.
Requirements
Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
Highly experienced with Unix/Linux environment and cloud architecture (AWS)
Familiar with database development (e.g. SQL), BI and AI/ML.
A background in life sciences, biology, biomedical informatics or clinical research 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, with a positive and enthusiastic learning attitude.
Competent project management and organizational skills will be very valuable.
Interns (Minimum 6 months, full-time)
Job description
We are seeking interns to develop computational methods, including big-data analytics, AI/ML approaches and visualization platforms, to analyze and integrate the multi-modal data (sequencing, imaging, spatial profiling, treatment response and clinical data) that can deliver translational outcomes to patients. The candidate will work with the PI and computational scientisits in the team to execute projects and carry out assigned tasks in a timely and efficient manner. He/She will report her progress on a regular basis. The intern is expected to work on any of these tasks, depending on field of study and interests.
1) Develop, implement and benchmark executable workflows for multi-omic datasets and image processing of histology images.
2) Organize and analyze in-house and publicly available datasets.
3) Develop visualization tools to visualize results in a meaningful way.
4) Curation of therapies and biomarkers, and patient clinical data.
Requirements
Relevant fields of studies: Computational Biology, Bioinformatics, Computer Science, Biology, Mathematics, Pharmacy, Pharmaceutical Sciences, Medicine, Engineering
The candidate should have basic programming skills (e.g. Python, R, RStudio, Jupyter Notebook, RShiny, SQL)
Familiarity with Unix/Linux environment or cloud architecture would be an advantage.
Strong analytical and problem-solving skills.
Excellent oral and written communication and presentation skills.
Able to work independently, and as part of a team.
PhD students
We are actively seeking PhD students to join us in the development of novel AI/ML approaches and knowledge graphs to integrate multimodal and multiscale biomedical and research data to uncover new biological mechanisms and panel of features to predict the right precision medicine strategies.