A*STAR Research | Scientist, Laboratory of Systems Biology and Data Analytics
2 weeks ago
Scientist, Laboratory of Systems Biology and Data Analytics (GIS)
Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics, and computational biology to correlate results from cutting-edge technologies to the clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists, and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.
Requirements
PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
Experience with analysis and interpretation of single-cell and spatial omics data
The ability to work closely with clinicians and computational biologists
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.
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Singapore A*STAR RESEARCH ENTITIES Full timeRoles & ResponsibilitiesColorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from...
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Singapore A*STAR RESEARCH ENTITIES Full timeRoles & ResponsibilitiesColorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from...
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