Computational Biologist

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. 
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. 
Ideal Candidate
We are seeking a highly motivated computational biologist based in Toronto/Boston/ North America (Remote) to contribute to our target discovery efforts. 
The successful candidate will analyze publicly-available and large-scale human genetic data-sets (genotyping, exome sequencing, whole genome sequencing data) and genomics data to identify genetic factors that may be targeted therapeutically, primarily leveraging our oligonucleotide expression increase and knockdown platform. This will include (a) identifying risk variants with large effects occurring in disease population subsets; (b) identifying genes and variants for which predicted expression increase is associated with protective effects; (c) prioritizing causal variants and genes using genomics information such as pathways, chromatin signatures of regulatory elements and chromatin contact maps. 
This work will be carried out in collaboration with team members from other disciplines (genetics curation scientists, bioinformaticians, software engineers, computational biologists and machine learning scientists).

What you will bring:

• PhD in Computational Biology, Statistical Genetics or related fields.
• Solid knowledge of Python or R, and Unix shell.
• Experience working on large-scale human genetics and genomics datasets.
• Good understanding of human genetics and interpretation of genetic variant data.
• Working knowledge of biostatistics.
• Solid peer-reviewed publication record.

Preferred But Optional Qualifications:

• Familiarity with variant effect predictors.
• Familiarity with systems biology (pathways, networks, etc.).
• Familiarity with high performance computing environments.
• More advanced knowledge of biostatistics and statistical genetics.
• Direct experience with UK BioBank, One Million Veteran Project, TopMed or other large-scale human genetics datasets.
• Experience in the therapeutics industry

What We Offer:

• A highly competitive salary and meaningful equity compensation.
• Exceptional opportunities for learning and growth.
• Leading role in developing the future of genomic analysis and therapy.
• A bright, collegial, highly-motivated team working at the intersection of the most exciting areas of science and technology.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.