Applied Research Scientist (Machine Learning)
InVivo AI
Montreal, Quebec, Canada
4d ago

As an applied research scientist at InVivo AI, you'll join a growing team of researchers working at the forefront of machine learning for drug development.

Currently a member of Techstars' inaugural AI cohort, we're an early-stage company located in the heart of Montreal's booming AI ecosystem.

Working with the close support of some of Canada's top investors and research institutions, InVivo AI provides the opportunity to apply your technical skills and creativity to truly meaningful problems : the discovery and optimization of small molecule compounds that have the potential to impact the lives of patients.

We're looking for problem-solvers who believe deeply in the impact AI can have in drug development, who can thrive in a collaborative and close-

knit environment, and who have the ambition, drive, and persistence to help transform an early-stage company into a global leader.

What you'll do

Your primary responsibility will be to work closely with our senior research team on the development and implementation of new algorithms.

You'll also assist in the design of projects to address client objectives, drive the effective organization and interpretation of data, and convey capabilities and results to clients in a language they can understand.

Finally, you'll assist in literature reviews and grant proposals, and help drive the creation of technical reports, presentations, and publications on behalf of InVivo.

What we're looking for

We're open to hearing from candidates with all sorts of interesting backgrounds, but ideally you'll have some understanding of biology and / or drug development, and :

  • Strong programing skills (4+ years), including :
  • Python (mandatory)
  • C / C++ and / or Java (bonus)
  • Ease with Linux
  • Experience with Agile methodology
  • A minimum of 2-4 years experience in machine learning (industrial or academic), including :
  • A deep understanding of ML theory and practice (e.g. feature engineering, regularization, hyperparameter tuning, ensemble methods, CNNs and RNNs)
  • Proven experience conducting experiments and building and deploying machine learned solutions
  • Experience creating novel algorithms and / or new capabilities in machine learning
  • A strong publication record in top conferences and journals in machine learning, bioinformatics, or a related field
  • Experience with one of the many mainstream ML libraries such as pytorch, tensorflow, keras, or sklearn
  • The soft skills needed to thrive in an early-stage company, including :
  • Being detail-oriented with the ability to keep a global vision of relevant issues and their solutions
  • Being a self-starter able to work independently with limited day-to-day supervision
  • Strong oral and written communication skills, with the ability to communicate complex scientific concepts to a diverse audience
  • Apply
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