Research Associate -

Application Period: Aug. 13, 2019 - Aug. 20, 2019

Contact: sheryl AT cs DOT mcgill DOT ca


We apply crowdsourcing techniques on a gaming platform to offer a solution to the production of high-quality multiple sequence alignments for very large read data sets for microbiome research.  We are searching for a Lead software engineer.

This project is co-led by Jérôme Waldispühl (McGill), Attila Szantner (Massively Multiplayer Online Science), Sébastien Caisse (Gearbox Software Quebec), Mathieu Blanchette (McGill) and Rob Knight (UCSD).


·         Develop industry-level bioinformatics and machine learning software

·         Integrate multiple software components into a robust bioinformatics/machine-learning pipeline

·         Design and implement a database system for a crowdsourcing platform

·         Interact with other bioinformatics and molecular biology team members to fine-tune components

·         Interact with industry partners to guarantee proper transfer of data between teams

·         Validate the scientific integrity of data and methods transferred to collaborators

·         Perform bioinformatics analyses on large in-house and public data

·         Participate to the supervision of graduate and undergraduate students

·         Participate to the redaction of scientific papers or reports to the funding agencies and partners


     Start Date:October 1st, 2019 (Earlier start is possible)

       Duration: 3 years (possibility of extension)

       Hours: Full time position

       Salary: $27.18 - $38.42 per hour, as per McGill Guidelines, depending on qualifications and experience



·         Hold a PhD degree in computer science, software engineering or related fields

·         Solid background in software development

·         Experience in interdisciplinary research, bioinformatics and crowdsourcing

·         Asset: Experience in genomics or microbiology     

       How to apply: Send your CV and cover letter to