The Department of Pathology & Laboratory Medicine in the Cumming School of Medicine invites applications for a MIBI Data Scientist. This Full-time Fixed Term position is for approximately 6 months (based on length of grant funding), with the possibility of extension.
The MIBI Data Scientist reports to the Chair in Pediatric Respirology and works collaboratively with Child Health and Wellness Researchers across campus to support research projects that utilize the Multiplexed Ion Beam Imaging (MIBI) infrastructure.
Summary of Key Responsibilities (job functions include but are not limited to):
Accountable for the production, analysis, and interpretation of multiplexed image data from the MIBI scope platform performed in a timely manner
Accountable for satisfaction of research community served
Contribute to technical and scientific publications using MIBI data
Provide advice and guidance on the applications for grants using MIBI data or proposing to use MIBI
Use superb critical thinking, problem-solving, teaching, storytelling, and consulting skills to manipulate data and derive meaningful interpretations from data articulating key themes in an effective and impactful way
Leverage available and emerging technologies to provide enhanced service by designing and implementing them into the existing analytical tools for the MIBI platform
Conduct data exploration and deep-dive analysis, leveraging the available and emerging technologies, to provide enhanced service by implementing them into the existing analytical tools for the MIBI platform
Effectively interpret the story behind data being analyzed
Be a champion for data governance, data management best practices and data quality
Provide general support and guidance on utilizing available data analysis tools to Child Health and Wellness scholars in the CSM
Develop and deliver training seminar and workshop contents for graduate and post-doctoral trainees and research staff
Provide hands-on supervision for short-term experiential learning placements within the MIBI research facility
Collaborate in designing research projects that will attract external funding as well as lead to peer-reviewed high-impact publications
Develop and maintain institutional, national, and international scientific collaborations
Use high-level scientific judgment to create and/or adapt and implement best scientific practices
Qualifications / Requirements:
Bachelor's Degree with specializations in Biology/Immunology and/or Mathematics/Computer Science
Any higher level of education will be considered an asset
At least 3 years of related research experience
Experience in Data Analytics pertaining to single-cell analysis will be considered an asset
Expertise in Microsoft Excel, Flow Cytometry Analysis Software, and Open-source programming languages such as R and Python is required
Data literacy regarding data sources, data quality, definitions, analysis concepts, and visualizations
Proven experience conducting research in an academic setting
Strong analytical, critical thinking, and problem-solving skills
Ability to adapt and apply computer programming methods to new situations
Ability to teach and mentor trainees and research staff in adapting and applying methods to specific projects
Superior ability to understand highly complex and technical cancer research projects
Superior skills in technical and business writing and presentations
Excellent verbal and written communication skills
Proven ability to assimilate and analyze complex scientific information gathered through collaborative efforts
Sound judgment and decision-making capabilities
Application Deadline: November 26, 2021
We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.
This position is part of the AUPE bargaining unit, and falls under the Technical Job Family, Phase III.
To find out more about management and staff opportunities at the University of Calgary and all we have to offer, view our Management and Staff Careers website. For more information about the Cumming School of Medicine visit Careers in the Cumming School of Medicine.
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