Toronto, Ontario /
Molecular Genetics /
Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
We are seeking a highly motivated bioinformatician with solid programming and scripting skills. The successful candidate will take on tasks spanning variant annotation, genomics data processing, data visualization and experimental design. The ideal candidate has a good understanding of molecular biology, human genetics, and basic statistics.
- BSc in Computer Science, Bioinformatics or related fields.
- Understanding of basic concepts in molecular biology and human genetics.
- Solid knowledge of Python and Unix shell, some knowledge of R desirable.
Preferred But Optional Qualifications:
- MSc or PhD in Computer Science, Bioinformatics or related fields.
- Experience with human genomics data (including next generation sequencing).
- Familiarity with genetic variant annotation resources (e.g. RefSeq, Annovar, dbSNP, SIFT, UCSC genome browser and tables)
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.