Postdoctoral Fellowship in Genome Data Science

Can we bridge the gap between data from the lab and a rapidly changing world?

Can we solve infectious diseases, sustainability, and food insecurity challenges amidst a climate crisis?

This fellowship is supporting the work of early-career investigators who are using genome data science to deepen our understanding of statistical genetics, infectious diseases, and biodiversity to overcome challenges and catapult Ontario and Canada as leaders in the global bioeconomy.

Supporting Early-Career Researchers

Developing talent for trans-disciplinary jobs in a genomics and engineering biology-enabled world that integrates diverse scientific expertise with market-focused business acumen is a key driver of our strategic goals.

Partnering with CANSSI Ontario, Ontario Genomics launched a joint funding opportunity to establish a postdoctoral fellowship in genome data science. This partnership was built on a common goal – to increase capacity in genomic epidemiology and statistical genetics by attracting, retaining, and developing Highly Qualified Personnel (HQP) in Ontario with expertise in quantitative fields such as statistics, computational biology, bioinformatics, computer science, epidemiology, engineering, genetics, or mathematics.

The fellowship offers two-year salary support of up to $50,000 per year for postdoctoral fellows undertaking full-time research at a CANSSI Ontario partner university or their affiliated research institutes.

 “We are thrilled to partner with Ontario Genomics to increase capacity in genome data science, and address some of society’s most pressing challenges.” Lisa Strug, Director, CANSSI Ontario

In its inaugural year (2021), this partnership supported two early-career investigators to solve challenges in genomic epidemiology and statistical genetics, with applications that addressed infectious diseases.

Dr. Roux-Cil Ferreira is a Postdoctoral Associate in Pathology and Laboratory Medicine at Western University, where she works on the statistical analysis of viral genomic data. Her research and writing have mainly focused on the analysis of HIV-1 data, and she is currently working on analyzing a key barrier to an HIV cure.

Dr. Waglechner is currently based at the Lunenfeld-Tanenbaum Research Institute. He was awarded a Canadian Institute of Health Research scholarship to continue as a Ph.D. student, where he predicted and identified a novel member in the Corbomycin antibiotic family, having a new mechanism of action targeting bacterial cell wall recycling. He is currently working at Mount Sinai Hospital on infectious diseases with Dr. Allison McGeer.

This fellowship, now in its second year, will support the work of early-career investigators pursuing research in the areas of statistical genetics, environmental genetics, or the economics and impacts of genomic technologies in a climate-changing world.