Research Officer
3 weeks ago
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 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/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
- At least 5 years of relevant experience
- 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.
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.
Tell employers what skills you have
Translational Research
Usability
Clinical Research
Data Management
Data Integration
Informatics
Biology
Bioinformatics
Computational Biology
Data Science
Visualization
Life Sciences
Bridge
Genetics
RStudio
Catalogues
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