Research Prime

Scientist - Computational Biology
Organisation Name: Deep Genomics
Organisation Type:
City:
State:
Country: Canada

Job Description:

About Us

Founded in 2014, 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. 

The thesis here at Deep Genomics is that everyone, at some point in their life, will face a genetic condition, whether Mendelian or complex, and we aim to be there for them with a genetically precise therapy. 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. 

We are rapidly growing and are looking for key people to help us achieve our goals. We are currently looking for a Computational Biologist based at Boston/Toronto/Remote North America.

Opportunity

We are seeking a creative and talented Computational Biologist 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.

Your responsibilities:

    • Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms.
    • Analyze high-throughput drug and sequencing data (e.g. RNA-seq, CLIP-seq, MPRAs, Perturb-seq) to help build machine learning models and design novel antisense oligonucleotides. 
    • Apply machine learning models to design novel antisense oligonucleotides.
    • Interrogate how antisense oligonucleotides interact with regulatory mechanisms to achieve its effect. 
    • Develop fast and accurate predictive workflows to support target validation and preclinical proof-of-concept for our oligonucleotide therapeutics.

What you bring:

    • A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience 
    • At least 2 years of experience with the development of novel algorithms/analysis pipelines for integrative analysis of genomics or other biological datasets.
    • Ability to design experiments, formulate hypotheses based on data, uncover causal mechanisms, and visualize data.
    • Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).
    • Proficient in Python or R.
    • You are a great communicator, highly organized and are willing to adapt to new situations quickly.
    • Comfort working with limited supervision in a fast-paced and rapidly growing work environment.

Nice to have:

    • Post-graduate experience (postdoc or industry).
    • Experience with RNA biology or antisense oligonucleotides.

What we offer:

    • A highly competitive salary and meaningful equity compensation (ESOPs).
    • A wide array of company-paid benefits.
    • Exceptional opportunities for learning and growth working alongside the world’s best team.
    • An opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. 

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.
Apply for this job

Posting Date: Jan 10, 2022
Closing Date:
Organisation Website/Careers Page: https://jobs.lever.co/deepgenomics/9eb1fefe-759e-4b5b-8212-c1ca40de0abf


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