09 Postdoctoral Fellowship at University of British Columbia, Canada

Granzymes are a family of serine proteases with 5 members identified in humans. With the exception of Granzyme A and Granzyme B, very little is known about the other 3 proteases, providing many opportunities to carve out a niche for drug development, patents, and publications. The successful applicant will have an opportunity to develop their leadership skills on projects related to advancing natural plant-derived compounds and/or repurposing clinically-approved drugs for indications related to wound healing. The Granville research program spans basic molecular biology and biochemistry through to target validation, proof-of-concept in animal and human models, and collaborations with clinicians and industry. Dr. Granville’s laboratory has expertise in established mouse models of chronic inflammatory diseases related to wound healing, aging, injury, and inflammation. The Postdoctoral Fellow (PDF) will be involved in translational research investigating the pathophysiological roles of granzymes and/or other targets in the context of wound healing, inflammation, injury, and/or dermatologic conditions. The PDF will be responsible for conceiving, designing, and implementing studies to further elucidate mechanisms of disease through the use of in vitro and in vivo models. The position is highly translational and well-suited for PDFs seeking greater involvement in taking basic bench research discoveries through to clinical application and potentially commercialization.

The School of Biomedical Engineering (SBME) at the University of British Columbia (UBC) , Vancouver campus is seeking a passionate and collaborative postdoctoral fellow, committed to advancing inclusive and interdisciplinary science, to join an international team applying state-of-the-art machine learning technologies to stem cell and immune engineering in the Zandstra Stem Cell Bioengineering Laboratory

The Zandstra Lab, develops integrated computational and experimental approaches to enable advanced therapies from renewable sources. With expertise in quantitative bioengineering, machine learning, and systems immunology, our team aims to accelerate discovery and translation in regenerative medicine and immune engineering technologies. The lab is part of the CIFAR Multiscale Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology.

This post-doctoral fellow position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and reinforcement learning (RL)—to address challenges in spatial genomics, cell fate control, differentiation automation, and drug/cell perturbation analysis.

The Multimodal Mobility Systems Lab at UBC Civil Engineering Vancouver is seeking a full-time postdoctoral researcher. Our group investigates questions about how long-distance, multimodal transportation systems and their components operate, and how to plan systems that are responsive and resilient to extreme events and are adaptive to the growing impacts of climate change. The selected candidate will characterize the impacts, on community connectivity and accessibility, of transportation disruptions due to natural hazard and extreme events. The work will require expertise in transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily disruptions data and network analysis, the candidate should have a strong background in network modelling and coding.

The selected candidate will also have excellent leadership ability/potential and strong communication skills. Their primary responsibilities will be to 1) work both independently and with other researchers, including mentoring graduate student researchers, 2) disseminate high-quality outputs in the forms of journal publications, conference presentations, and reports, and 3) lead project administration, including communications with research partners and project stakeholders, and deliverables. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program.

We are seeking scientists to lead research projects with a specific focus on the genetic determinants of severe adverse drug and vaccine reactions. Potential projects focus on severe ADRs to a range of different medications. Current priority ADRs include cisplatin-induced ototoxicity, anthracycline-induced cardiotoxicity, COVID-19 vaccine-induced myocarditis and vaccine-induced immune thrombotic thrombocytopenia. The successful candidate would be expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a demonstrated potential for excellence in research productivity; a Ph.D., or M.D., or Pharm.D., or equivalent degree. The successful candidate will seek to share their research findings through publications, presentations, and other knowledge transfer activities. They will collaborate with various parties including internal and external researchers, stakeholders and national and international bodies. In addition, the successful candidate should demonstrate some experience in writing or assisting with the writing of grant applications.

The University of British Columbia (UBC) and BC Cancer Research Institute (BCCRI) are seeking a talented post-doctoral fellow to join us in Vancouver, BC, Canada. The research will take place in the Quantitative Radiomolecular Imaging & Therapy lab (Qurit.ca) under the guidance of Drs. Arman Rahmim and Carlos Uribe.

The fellow will work in collaboration with researchers, clinicians and imaging experts from UBC, BCCRI, and our international institutional and industry partners. The fellow will work within our multidisciplinary team (medical physicists, engineers, nuclear medicine physicians, medical oncologists, radiation oncologists, …) towards the overall aim of enabling precision theranostics radiopharmaceutical therapies (RPTs) via advanced computational oncology and pharmacokinetic modeling.

Our research team is multicultural and diverse, and provides unique opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond.

We are seeking applications for a 2 positions: (1) Postdoctoral Research Fellow and (2) PHD candidate with a keen interest in Global Child Health, Data Sciences, Epidemiology and/or Digital Health. 

The project for these positions are related to global health initiatives utilizing risk-based differentiated care to prevent pediatric mortality and morbidity, enabled through digital health technologies in Africa (Kenya, Uganda + more).   The programs have been implemented over 15+ years (Smart Discharges Child, Smart Discharges Mom&Baby, Smart Triage) leveraging evidence-based technologies to support front line healthcare workers in resource limited settings in diagnosing, triaging and discharging children with serious infections, and other co-morbidities. 

The exciting next stage of this program will be to expand to multiple countries in East and West Africa, with rigorous evaluation. We are looking for trainees with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity.  Find yourself in new areas of inquiry that urgently require attention if we are to transform the quality of care in these hospitals.