招聘简介：

　　新加坡麻省理工学院研究与技术联盟（SMART）中心

　　地点：新加坡

　　工作描述

　　项目概况

　　Smart Camp（制造个性化医疗的关键分析）是新加坡（创建国际研究园区和创新中心）和麻省理工学院（MIT）的一个新的跨学科研究项目。Smart Camp解决了细胞疗法生产中的关键技术瓶颈：（i）安全、有效的细胞疗法产品的关键质量属性；（ii）用于监控和调节这些属性的集成过程分析。尽管细胞疗法已准备好改变行业和患者的医疗保健，但对于本研发计划所解决的重大全球影响，仍然存在许多突出的科学和技术挑战。这种高度影响的焦点包括测量和反馈控制有助于细胞增殖过程中细胞活力和功能的处理参数（过程分析技术，简称PAT），以及在细胞产品特性的中间和最终步骤中测量与之相关的具有积极的治疗效果（关键质量属性或CQA）。

　　英文原文：

　　Singapore-MIT Alliance for Research and Technology (SMART) Centre

　　Location: Singapore, Singapore

　　Job Description

　　Project Overview

　　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. As with all postdoctoral associates (PDAs) in SMART CAMP based in Singapore, the PDA will work in a diverse team of experts including several principal investigators (PIs) and PDAs, and receive direct mentorship regarding career development from a pair of who are based in Singapore and at MIT, respectively.

　　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.

　　Flagship Project 1: Label-free critical quality attributes (CQA) for personalized efficacy of cell therapies, including multivariate analysis of biological and biophysical attributes

　　Flagship Project 2: Rapid critical quality attributes (CQA) for safety of cell sources & cell therapy products, including process analytic technologies (PAT)

　　Flagship Project 3: Integrated process analytic technologies (PAT) for cell proliferation and recovery, including in-line and intermittent monitoring to promote efficacy and safety CQA

　　Job Responsibilities

　　CAMP Flagship Project 1 – Multivariate biophysical cell analysis instrumentation

　　A key approach to isolating cells of potent and predictive efficacy for cell therapy products is microfluidics-based instrumentation that separates or sorts cells in a label-free manner; the term label-free implies that the cells are not modified with antibody labelling or other perturbations, so that the sorted cells can be used directly as the therapeutic product. This PDA will contribute microfluidic engineering and instrumentation development for cell-based biological and biophysical analysis of candidate critical quality attributes (CQA). The PDA will focus on developing platform technologies for CQA of expanded adult stem or progenitor cells (e.g., from mesenchymal stromal cell or MSC sources or from peripheral blood mononuclear cell or PBMC sources) that help define potent cell therapy products.

　　The primary job duties include:

　　• Develop and validate the capability of characterizing multiple biophysical CQAs (at least two potential bioelectrical and biomechanical phenotypes) in a single high-throughput, label-free monitoring process.

　　• Develop a new instrumentation of high-throughput, multimodal biophysical cytometry.

　　• Develop customized algorithms for data analytics to improve the accuracy and robustness of the multimodal biophysical cytometry.

　　• Work with other members of the team to validate the multimodal biophysical cytometry for quantifying the CQA of MSCs and PBMC cells in a clinical setting.

　　Job Requirements

　　• Ph.D. degree in biological/biomedical engineering, mechanical engineering, electrical engineering or other relevant engineering degree

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

　　• Proven track record in the field of microfluidics and/or microfabrication

　　• Priority will be given to candidates who have experience with biophysical phenotyping of single biological cells

　　• Creativity to solve challenging technical problems with uncertainty

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

　　• Good writing skills in preparing reports, conference and journal publications

　　• Able and committed to work in Singapore

　　To apply, please visit our website at: http://smart.mit.edu/careers/career-opportunities . Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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