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
CAMP Flagship Project 2 – Bioinformatics Pipeline Development for Adventitious Agent Detection in Cell Therapy Products
One of the key challenges in deploying cell therapies lies in the analytical assays needed to confirm that they are safe for administration. CAMP will develop multiple assays including gene sequencing to identify adventitious agents within the working fluid of cell therapy products, and this requires dedicated efforts in a specific application of bioinformatics.
- This PDA will provide expertise in high-throughput sequencing and bioinformatic pipeline development to establish novel bioinformatic pipelines for rapid adventitious agent detection, develop targeted adventitious agent sequencing databases, conduct in silico experiments to evaluate bioinformatic approaches, and conduct comparative analyses of these approaches compared to current state of the art.
- The PDA will collaborate with cell biologists, engineers and microbiologists in CAMP to achieve the objectives.
- Ph.D. degree in computational biology, bioinformatics, human genomics, or a related field in the biological data sciences
- Experience in inter-disciplinary bioinformatics research, with outstanding skills and abilities in bioinformatics, data curation, large scale data and NGS analysis, statistics and statistical model building, as evidenced by publications and presentations
- Knowledge of current bioinformatics trends, public genomic tools, databases and utilities, with a focus on Next Generation Sequencing and genome annotation
- Self-motivated, independent, with superior organizational and analytical skills
- Excellent verbal and written English communication skills are required.
- Candidates with additional experience in working with viruses will have an added advantage.
- Demonstrated ability to work independently and to work collaboratively in a team
- Good track record of publication and scientific output
- 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.