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Research Intern

4 months ago

Toronto, Canada Deep Genomics Full time

**About Us**

Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and by far the most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering.

**Where You Fit In**

We are seeking exceptional graduate or senior undergraduate students for an 8 to 12-month internship with an interest in using machine learning, large datasets and automation to revolutionize drug development. You will work regularly with and learn from our multilingual team of machine learning scientists, software engineers, computational biologists, molecular geneticists, and wet-lab scientists to help design oligonucleotide therapies.

**What you will do**:

- Analyze high-throughput sequencing data (e.g. RNA-seq) of publicly-available and internal oligonucleotide-treated samples to improve the training pipeline for our in-house regulatory genomics model
- Estable benchmark datasets and workflows to evaluate model performance on the effects of oligonucleotide drugs and genetic variants
- Learn how to train large genomics models

**What you bring**:

- Currently enrolled in a graduate program (e.g. MSc, PhD) with a focus in Bioinformatics/Computational Biology or a related discipline. Senior undergraduates will also be considered
- Experience with the development of algorithms/analysis pipelines for RNA sequencing datasets
- Experience with benchmarking and evaluating machine learning models
- Strong knowledge of probability and statistics
- Proficiency in Python
- Experience with distributed/cloud computing pipelines
- Great communication skills, highly organized and are willing to adapt to new situations quickly

**Nice to have**:

- Familiarity with neural network frameworks (e.g. Tensorflow, Pytorch)
- Familiarity with GitHub

**What we offer**:

- Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District - an expanding hub of research in AI and genomics
- Exceptional opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology
- Competitive compensation package

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.