Research Associate (Limited Term)

at  University of Toronto

Date Posted: 12/10/2024
Req ID:41087
Faculty/Division: Temerty Faculty of Medicine
Department: Department of Molecular Genetics
Campus: St. George (Downtown Toronto)

QUALIFICATIONS:

• A PhD in Biology, Genomics, Computer Science or equivalent combination of research, experience and education
• 4+ years of related industry experience leading designing and implementing a computational framework
• Demonstrable experience writing high-performance code in two or more of these languages: C/C++, Julia, Python or R, and with one or more frameworks like BLAS and OpenMPI.
• Demonstrable experience designing and implementing GPGPU algorithms with frameworks like CUDA.
• Demonstrable knowledge of APIs for 3D vector graphics like GLSL, OpenGL.
• Demonstrable experience writing user interfaces for the web with technologies like HTML/CSS/Javascript and UI frameworks like React, WebGL is strongly preferred.
• Demonstrable experience deploying and managing cloud infrastructure in AWS or GCP, with technologies like Docker and Terraform.
• Previous experience related to computational simulations of morphology and/or 3D topological analysis of biological components.
• Experience preparing grant applications and presenting results at international conferences.
• Publications in a topic of research relevant to these qualifications

Computational virology is undergoing a renaissance. We’re looking to support passionate, self-motivated scientists with a clear vision to take on high risk research ideas and move the field forward. We aim to further extend the Serratus platform so that it also incorporates multi-faceted predictions and data regarding the biological, ecological, and experimental determinants of viral biology. The Research Associate is expected to independently carry leading, designing and implementing the computational framework required to predict and simulate the aforementioned behavior, as well as to deploy them on highly-scalable cloud computing infrastructure to facilitate dissemination of the data to the whole scientific community.
Given the interdisciplinary specialization of the laboratory, we are looking for a candidate with a unique combination of a strong biological expertise coupled with demonstrable experience in algorithm design, software development, database management and deployment of scalable services.
The applicant must have exceptional verbal and written communication skills, as they will be responsible for writing scientific papers, preparing data and text for grant applications, and communicating the results at national and international scientific conferences. Assistance with teaching, grant writing, and administrative duties is expected.