Application Period: Aug. 13, 2019 - Aug. 20, 2019
We are no longer accepting applications for this position.
Nous n'acceptons plus les candidatures pour ce poste.
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 email@example.com