University of Calgary

Postdoctoral Scholar, Machine Learning and the Microbiome, Cumming School of Medicine (BB-C2DDC)

Found in: Talent CA

Description:
Position Description Area: Microbiome Data ScienceDuration: One year with the possibility of extensionStart Date: May 1 to September 1, 2021Salary: Minimum of $50,000 per year plus benefitsThe Department of Psychiatry, Cumming School of Medicine at the University of Calgary is accepting applicants for a Postdoctoral Scholar in "Machine Learning and the Microbiome Data Science".Job Description:The postdoctoral scholar will be co-supervised by Dr. Valerie Taylor and Dr. Joon Lee. They will contribute to a research program that merges mental health and the gut microbiome research to translate clinical and microbiome data in to drug discovery. They will be expected to engage in full time research and apply to local, provincial and national funding competitions. What We Offer: The postdoctoral scholar will be part of a rich academic community which includes the Departments of Psychiatry, Community Health Sciences and, Cumming School of Medicine, University of Calgary. The postdoctoral scholar will be part of the larger University community through engagement in the Hotchkiss Brain Institute, the Snyder Institute, and the Data Intelligence for Health Lab. The postdoctoral scholar will participate in weekly team meetings, grand rounds, journal clubs and research seminars where principal investigators, postdoctoral scholars and trainees present their most recent work. They will work in a collaborative multi-disciplinary team made up of researchers, clinicians, postdoctoral scholars, research associates and coordinators, biostatisticians, and trainees at all levels. They will have the opportunity to present their research findings at conferences where they will network with other researchers. And have the opportunity to substantially engage with patients and families, clinicians and decision-makers throughout their research.Qualifications:PhD in data science, informatics, computer science, statistics, engineering, or a related disciplineMust have completed (or be within six months of completing) their doctoral degree. Applicants who hold a degree must have completed their doctoral degree within the past three years, or have been actively working in a related fieldExperience in working with neuroscience and/or the microbiome would be an assetData science: Advanced knowledge of machine learning, artificial intelligence, statistics, visualization, and high-performance computing is required. Previous research experience with health data, particularly in the context of microbiome, is a strong assetSoftware engineering: Solid and demonstrated software engineering experience is essentialCommunication: Fluency in English, both written and oral. Experience presenting to academic audience is requiredTime-management: The applicant must have excellent time management skills and be able to work in a self-directed manner within an inter-disciplinary environmentPublications: Demonstrated productivity in peer-reviewed publication is requiredSupervision: Previous experience mentoring undergraduate and graduate students is an assetApplication Details:If this sounds like the right fit for you, please send: A cover letter outlining your relevant research experience, qualifications, research interests and career goalsCVTranscripts (Undergraduate and Graduate)Sample of three related peer-reviewed publicationsAs a single PDF to Asem Bala, Research Program Manager: If you’d like to learn more about our team, visit the Data Intelligence for Health Lab webpage. This posting will remain open until a successful candidate is identified.

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