BACKGROUND

Deep Genomics is inventing machine learning systems to discover how cells read and interpret the genome, taking computational genome diagnostics to the next level. We combine world-leading expertise in deep learning, genome biology, and precision medicine.

RESPONSIBILITIES

We are seeking a highly experienced and motivated bioinformatics analyst to develop genetic variant annotation systems based on machine learning, manage somatic (cancer) datasets from collaborators as well as publicly available resources, and help design and implement benchmarks for variant annotation algorithms, including our in-house machine learning algorithms. Other tasks may include RNA-seq data analysis and writing manuscripts for publication. The position will report to the Director of Molecular Diagnostics.

REQUIREMENTS

The candidate will have a B.Sc. or M.Sc. in Computer Science and/or Biology, and a PhD in Bioinformatics, Computational Biology, or Integrative Genomics. Solid background in computation and data analysis is strictly required. Recent experience working with RNA-seq or other NGS (Next Generation Sequencing) data sets for cancer is required. Experience working in scripting languages (Python and one of Perl, R or Ruby), SQL and Linux are strictly required. Solid understanding of basic machine learning concepts (training, cross validation, features, regularization, etc.) and performance metrics (Log Likelihood, AUROC, AUPR, etc.) is strictly required. Excellent communication, team work skills and attention to details are required.

PREFERENCES

Prior experience with variant annotation tools (Annovar, VEP, SnpEff) and human genetics research data are highly desired. Experience working with micro-RNA (miRNA) data is highly desired. Experience with pathway and network analysis is desired.

TERMS

Full time, no end term.

LOCALE

The work will be conducted at Deep Genomics main office, MaRS Discovery District, Toronto. Toronto is a major international centre of computer science, genomics and human genetics research; there will ample opportunity for professional development through research seminars, workshops and research in progress meetings.

COMPENSATION

Salary is commensurate with education and qualifications.

HOW TO APPLY

Please send your CV and cover letter, including at least three reference contact persons, to: hiring[at]deepgenomics.com

DEADLINE

Open until position is filled.

LINKS

http://www.deepgenomics.com