Postdoctoral fellow

We are recruiting a determined individual to join our highly collaborative and multi-disciplinary research environment. The incumbent will champion impactful research projects pertaining to the study of the immune dynamics of SARS-CoV-2 infection and vaccination. In particular, we seek to comprehend why certain individuals respond well to vaccination and infection, why others do not and how can we predict these outcomes? This well-funded project will involve generating, integrating and analyzing rich datasets of Oxford nanopore and single-cell RNA sequencing data derived from biospecimens longitudinally acquired from a unique cohort of over 500 healthcare employees. The incumbent will have the opportunity to learn unique techniques (both experimental and computational) and develop their own research program in a modern, multi-cultural research environment with established collaborative networks and cutting-edge infrastructure.

Help design and analyze single-cell sequencing experiments

Acquire, process and analyze long-read transcriptomes

Identify and characterize antigen receptor gene sequences to study lymphocyte clonality

Perform comparative gene expression analyses on thousands of cells

Correlate immune cell phenotypes and clonal diversity with genetic predispositions

Integrate transcriptomic, proteomic and genomic data

Enjoy working in an interdisciplinary environment and participate in the development of younger trainees

Candidates at different career stages are encouraged to apply. The incumbent should have demonstrated research experience with genomic data, computational skills involving data processing and statistics, programming abilities and familiarity with best practices in data science/bioinformatics. The ability to work in a team, a determination to pursue research excellence, good communication skills and efficient time management should also characterize the incumbent.