Computational Genomics of Autoimmune Disease

The Lessard lab is seeking a Post-doctoral Fellow with experience in computational sciences to join our research team. Our research investigates the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögren’s syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases.

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We perform a wide variety of high-throughput sequencing technologies in both bulk and single cell technologies: genotyping arrays, RNA-seq, single cell (sc)RNA-seq, Perturb-seq, long sequence Nanopore sequencing, spatial transcriptomics, etc. In addition, we leverage gene-editing technologies, i.e. CRISPR/Cas9 editing, to functionally characterize non-coding regulatory regions of the genome in the context of native 3D chromatin regulatory network using 3C technologies (3C-qPCR, etc.) and promoter capture Micro-C.

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Candidate must demonstrate proficiency in computer programming (UNIX-like OS, R, and python), and the application of statistical methods commonly used to analyze genetic data. Experience using data analysis pipelines and machine learning analytical approaches is also preferred.  Candidates must also demonstrate an ability to interpret and summarize research findings, and interest in assisting manuscript preparation and grant writing, and presenting at scientific meetings.

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Ph.D., M.D., or Ph.D. /M.D.

Strong project management, organizational, and communication (verbal and written) skills are required. Individuals must be detail oriented and capable of working both independently and as productive member of our team.

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Ph.D./M.D. in bioinformatics is preferred.