Advanced Analytics Network (RAAN) Data Science Intern

Job description

·  Job facts

Roche Canada is recruiting for an Advanced Analytics Data Science intern in Mississauga. The ideal candidate will begin internship in May 2020 and the duration of internship is 8 months.

Our intern will join the Solution for Performance Analytics and Reporting in Quality (SPARQ) Project, and work on an innovative deep learning approach for natural language processing/natural language understanding (NLP/NLU) for quality data.

We are looking for individuals who are:

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Creative problem solvers, quick learners and comfortable experimenting with new approaches.

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Demonstrate high productivity and enjoy dealing with ambiguity and applying novel methodologies.

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Possess entrepreneurship, passion and curiosity for understanding and interrogating complex data.

Responsibilities:

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Design, build and interpret NLP/NLU deep learning frameworks to identify emerging trends from quality management system records.

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Proactively share learnings and knowledge to support the development of the wider Roche Advanced Analytics community.

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Help shape the direction of machine learning and artificial intelligence within Roche.

Experience and Competencies Preferred:

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Experience in modern Deep Learning and NLP/NLU including Neural Networks, RNNs, seq2seq+attention models, and real world machine learning in TensorFlow (incl. regularization, cross-validation, dropout).

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Experience with deep learning frameworks and libraries (e.g. TensorFlow, PyTorch, etc.).

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Strong communication and collaboration skills.

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Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming.

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Demonstrated contributions to open source packages, libraries or functions.

Qualifications

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Master's and PhD candidates or recent graduate in Computer Science, Statistics, Mathematics or related fields. PhD candidates preferred.

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Strong background in current developments in Deep Learning and Neural networks.

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Proficiency with Python.

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Experience using GPU for accelerated deep learning training.

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Able to work independently but also comfortable in a collaborative environment.

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This position is not eligible for relocation support.

This position is open to applicants legally authorized to work in Canada.

NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

Roche is an equal opportunity employer and prohibits unlawful discrimination based upon any legally protected ground. Roche will make a good faith effort to accommodate the individual needs of applicants with disabilities in our recruitment process

AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency

·  Who we are

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

Roche is an equal opportunity employer.