Job summary The Digital Health Innovation Lab (DHIL) at the BC Children’s Hospital Research Institute (BCCHR) is seeking a full-time postdoctoral fellow, for an appointment of 2 years, to take a significant role within a new Perioperative Opioid Usage Quality Improvement project.
The project’s aim is to combine patient-oriented research approaches with machine-learning to improve treatment of post-surgical pain in children and adults.
Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery.
Over the next two years, we plan to develop a system that will: firstly, risk-stratify children and adults before surgery, so that the time before surgery can be used to optimize the patient’s health to reduce persistent post-procedural pain; and, secondly, give clinicians actionable feedback on their practice, so they can improve their care, reduce their patients’ risk further, and help their patients recover more quickly from their procedure.
We are looking for a highly motivated, self-driven, and engaged candidate with experience and interest in big data, machine learning, predictive analytics, and/or population epidemiology to lead the data science and analytics component of our project, as well guiding tool evaluation in a clinical setting.
The position is available to trained individual with a desire to embrace the complexity of clinical research and to build technology-based solutions to improve the safety and quality of patients’ care.
The successful candidate will need to demonstrate technical expertise, be able to collaborate with clinicians, patients, academic researchers, and industry partners, and have a keen interest in exploring advanced design, implementation, and evaluation skills.
Organizational status The DHIL is a collaboration between the University of British Columbia Departments of Anesthesiology, Pharmacology & Therapeutics and Electrical and Computer Engineering.
The Principal Investigator is Dr Matthias Görges, who is based on the BC Children’s Hospital campus. Study co-investigators are based at St Paul’s Hospital in downtown Vancouver.
The majority of work will be conducted independently, but the successful candidate will work with the Principal Investigator, Co-Investigators, Research Coordinator, and other research staff at both sites.
The work will also involve close collaboration with clinical and patient partners at both hospitals, as well as with industry partners.
Work performed Primary activities will include :
– Selection of patient risk factors and patient-reported outcome measurements/tools using a patient-oriented research approach.
– Epidemiological analysis/modeling of opioid usage and surgical procedures using population data to find additional risk factors and explore patterns of practice over time.
– Analysis of locally-collected clinical data to create patient-specific risk models for both adult and pediatric populations.
In addition, the Postdoctoral Fellow will be involved in :
– Study design to evaluate tools and/or models in clinical settings; leading significant aspects of the research project, including organizing research assistants and staff to support collection of study data; conducting substantive, methodologically rigorous research analyses.
– Writing abstracts, reports, and scientific articles, and submitting to peer-reviewed journals; contributing to literature reviews and syntheses; presenting study results to the scientific community at national and international conferences.
– Identifying and pursuing secondary research projects and research funding; mentoring junior trainees and co-supervising staff in their contributions to the project; and collaborating with other research personnel, clinical collaborators and industry partners.
Qualifications The successful candidate should be able to demonstrate evidence of:
– Strong data analytics and statistical analysis skills, including data management and programming using MATLAB, R, or Python.
– Applications of machine learning, big-data approaches, including strategies to overcome real-world problems, such as missing data; experience with healthcare data would be desirable.
– A doctorate or a visiting scholar in a relevant discipline, e.g., Clinical Informatics, Human factors engineering, Biomedical Engineering, Epidemiology, Biostatistics, or a related field.
– A strong publication record and excellent technical communication and interpersonal skills; knowledge of research processes, including the conduct of clinical studies; detail-oriented as well as high-level conceptual, analytical, and critical appraisal skills.
– Able to work independently, and solve technical and methodological problems that arise during the course of the research; be comfortable with change, and be adaptable as the project evolves; able to thrive in a collaborative team environment and work effectively with research personnel, clinicians, patients, industry partners.
– Personal motivation and self-management; able to take responsibility for meeting deadlines within timelines that are partially dictated by industry partners and clinicians; must exhibit a high level of professionalism, judgement, ethical conduct, discretion and diplomacy.
Contact Apply by email to Nicholas West (email@example.com), sending a curriculum vitae with all relevant employment and academic experience; 1-2 writing samples (publications) or a thesis chapter; names of three references; and a cover letter, noting research experience and interest in the position.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Funding This fellowship is supported by MITACS and Careteam, and the selected candidate will receive CAD $50,000.00/year plus benefits.
不列颠哥伦比亚大学（简称UBC，University of British Columbia），于1908年始建，坐落于加拿大温哥华市，是加拿大著名的公立研究型大学，不列颠哥伦比亚省历史最悠久的大学，也是全球最顶尖的公立大学之一，被誉为西海岸的明珠，素有“北美最美校园”之誉。其前身为麦吉尔大学不列颠哥伦比亚分校，后于1915年获批独立，更名为不列颠哥伦比亚大学。