Senior/postdoctoral Associate

SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is a new 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 of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. While cell therapies are poised to transform healthcare for both the industry and the patient, there remain many outstanding scientific and technical challenges to significant global impact that this R&D programme addresses. This high-impact focus includes measurement and feedback control of processing parameters (process analytic technologies, or PAT) that contribute to cell viability and function during cell proliferation, and the measurement at intermediate and final steps of the cell product properties correlated with positive therapeutic outcomes (critical quality attributes, or CQA).

This interdisciplinary team comprises engineers, biologists, clinicians, manufacturing, and data analytics experts from multiple MIT academic units, and multiple Singapore-based universities, research centres of excellence, and hospitals who are experienced at translational demonstrations of technologies in safety-regulated industries such as cell therapies.

CAMP’s unique, enabling and cross-cutting capabilities include cell and clinical biology, microfluidics, real-time optics and spectroscopies, 3D-printed devices, process analytics, data analytics, and bioinformatics. This programme will demonstrate these approaches required of cell-based personalized medicine through three translational testbeds (three Flagship Projects), ultimately facilitating access for more patients to life-saving, approved cell therapies for currently intractable health challenges. These flagship projects will address 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.

**Responsibilities**:
Process analytic technologies (PAT) for cell therapy manufacturing must be accessible to or integrated with the culture vessels in which the cells are expanded to sufficient cell number and quality. This PDA will contribute to development of spectroscopic sensing modalities - including Raman spectroscopy - that can be integrated into cell culture platforms ranging from instrumented T-flasks to microfluidics bioreactors. Optical design and instrumentation to characterize the metabolites in the cell culture medium and within the cells will be utilized along with computational tools for spectral analysis in these microenvironments. CAMP will pilot this technology for real-time monitoring and control of mesenchymal stromal cell culture in a cell therapy manufacturing setting.
- Development of optical instrumentation utilizing spectroscopic for monitoring the metabolite profile of the media and the viability and differentiation potential of cells.
- Improving data analytics for this spectral analysis.
- Investigate the underlying chemical signatures to establish a deeper understanding for cellular metabolism and how that may correlate with important biological properties for therapeutic cells.
- This study may be performed with other biologists in the CAMP team due to its interdisciplinary nature.

**Job Requirements**:
A Ph.D. degree in biological/biomedical engineering, mechanical engineering, electrical engineering or other relevant fields is required. An interdisciplinary research background in optics, biophysics, cell biology, and data analytics is an asset.

Strong hands-on ability to carry out experimental engineering/instrumentation.

Proven track record in the field of imaging/optical engineering.

Creativity to solve challenging technical problem with uncertainty.

Good communication skills to work with researchers from biological/clinical backgrounds.

Self-motivated, independent, with superior organizational and analytical skills.