Bff-afirms data scientist | |
Published | |
Workplace | Toronto, Alberta, Canada |
Category | |
Position | |
Department Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept
Salary range $87,013 to $97,890 Hours per week Posted date November 29, 2024 Closing date January 10, 2025 Position Type Full Time - Trust Funded DescriptionThis position is a part of the Association of the Academic Staff of the University of Alberta (AASUA).In accordance with the Trust/Research Academic Staff Agreement this position has an approximate appointment of three years and offers a comprehensive benefits package found at Faculty & Staff Benefits and an annual salary range of $87,013 to $97,890. Location - This role is in person. Work primarily takes place at North Campus Edmonton. Working at the University of Alberta The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community. The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide. Your work will have a meaningful influence on a fascinating cross-section of people -- from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more . Working for the Faculty of Agricultural, Life and Environmental Sciences About the project: BFF-AFIRMS, (Best Future Forest: Advanced Forest Genomics and Integrative Resource Management System), is a transformative initiative aimed at digitalizing forest resource management and tree improvement in Alberta, Canada. This is a joint effort across Government of Alberta, industry partners of Tree Improvement of Alberta, University of Alberta (CA), and Oklahoma State University (USA), aiming to integrate high-throughput genotyping, predictive analytics, and decision-making science to ensure responsible stewardship of forest genetic resources in the face of climate challenges, as well as increasing demand for sustainable forest ecosystems and products. Position Position overview: BFF-AFIRMS invites applications for a highly skilled Data scientist to design, implement, and manage a state-of-the-art relational database system for BFF-AFIRMS. The successful candidate will have deep expertise in database architecture, relational data management, and cutting-edge technologies to ensure optimal performance, scalability, and reliability of our integrative data systems. In the era of high-throughput biology and data-driven decision science, the candidate will lead a computational effort to integrate BFF-AFIRMS’ multi-dimensional data and provide decision support for policymaking for tree improvement and forest genetic resource management. This position is for 3 years, for a specific research project, working with 2 other potential postdoc fellows or research associates reporting to Dr. Barb Thomas, the PI and budget holder. This project is working with Dr. Charles Chen at Oklahoma State University and therefore travel may be required to visit the USA. Duties
Qualifications
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered. We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted. The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply. Note: This opportunity will be available until midnight January 10, 2025, Edmonton, Alberta local time. | |
In your application, please refer to myScience.org and reference JobID 3007643. |
Related News
12 December 2024
How much CO2 does Zurich emit?
12 December 2024
Making heatwaves in cities more bearable
11 December 2024
Isoprene From Rainforests Drives New Particle Formation