SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is an interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes (CQA) of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. Our efforts are focused on allogeneic and autologous cell therapy products, including but not limited to cell sources including adult stem/progenitor cells and immune cells for treatment of specific cancers, tissue degeneration, and autoimmune diseases.
The successful candidate will support interdisciplinary projects focused on translating candidate safety Critical Quality Attributes (CQAs) to improve the safety of cell therapy products and patient safety. He/She will work under the supervision of postdoctoral associates in SMART CAMP, with mentorship by principal investigators in Singapore and MIT. The successful candidate’s primary activities include but are not limited to routine mammalian cell culture maintenance and expansion, clinical sample processing and molecular-based activities according to established protocols in SMART CAMP, as well as general housekeeping and maintenance of lab inventory, consumables, SOPs and risk assessments.
Bachelor of Science degree, or Diploma in a biology-related discipline with minimum 1 year working experience
Experience in mammalian cell culture is essential e.g., primary human T cells, suspension/adherent cell lines
Able to work meticulously with clinical samples e.g., timely processing of blood/saliva, molecular testing
Experience in molecular biology is essential e.g., nucleic acid isolation, amplification (qPCR, dPCR or isothermal amplification assays) and detection
Comfortable/willing to work with BSL2 viruses
Experience in cell manufacturing is an advantage
Motivated to learn and achieve high consistency and reproducibility in experimental output
Detail-oriented with good organizational skills, record keeping and time management