Machine Learning Researcher (Bioinformatics) at D-Wave Systems (Burnaby, BC, Canada)

Machine Learning Researcher (Bioinformatics)
Location: Burnaby, BC 

About us:
D-Wave is looking for exceptionally motivated people who love to see the impact of their work on a daily basis, who are driven to ensure the success of the company, and who want to be a part of something special.  We are working to radically change what is possible with computers and are leading the effort to commercialize quantum computing. 

Conditions such as autism, heart disease, and cancer have diverse biochemical manifestations and substantial genetic liability.  We can better understand the nature of these diseases, and identify new targets for treatment, by characterizing the changes in gene transcription that underlie them.  Traditional statistical approaches to analyzing the transcriptome are inherently linear, including those used to identify differential gene expression, extract modules of correlated genes, and remove confounding sources of variation. However, biological processes including gene regulation often exhibit complex, nonlinear dynamics.  We are therefore working to apply state-of-the-art nonlinear machine learning techniques to the analysis of gene expression data.

To assist is in this effort, we are seeking researchers with a background in genetics and experience with modern machine learning methods, particularly generative models

Position Description:

In this role, you’ll work with our team of machine learning experts on research endeavors within this domain. You’ll design and implement novel machine learning algorithms that help chip away at the larger question of how and why genes express themselves and what we can do to improve the health and longevity of people with high genetic risk factors for different conditions.  

Here, you’ll have the chance to do inventive, ground-breaking research in an exciting and collaborative research environment. Our Machine Learning Researchers are given the freedom to work within their passions towards our overall goals, and we encourage exploration of new ideas and publication of the findings.

Responsibilities Include:

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• Working closely with other machine learning experts to design, implement, tune, and optimize machine learning algorithms.
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• Designing and implementing experiments to test the quality of machine learning algorithms.
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• Validating promising research concepts with high quality Python, Matlab, or Julia implementations. 
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• Applying software engineering best practice: software design patterns, version control, unit tests, documentation.
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• Working with a diverse group of technical experts to incorporate their expertise into software projects.
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Required Qualifications:

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• PhD in computer science, statistics, applied mathematics, bioinformatics, biology or a related field
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• Experience in modern machine learning methods, ideally generative models
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• Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc 
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• Demonstrated success in the application of machine learning to practical problems
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• Preference given to demonstrated experience using Python, Matlab, or Julia
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• Self-motivated, proactive and flexible with excellent problem-solving skills
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D-Wave Systems Inc. is an equal-opportunity employer and encourages applications from all qualified candidates regardless of gender, race, ethnicity, age, religion or sexual orientation.

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