Data Scientist
Deepgenomics in Toronto, Ontario
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 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. Deep Genomics is located in Toronto, Ontario and Cambridge, Massachusetts.
Where You Fit In
We are seeking a highly motivated data scientist/ bioinformatician with solid programming skills. The successful candidate will have a good understanding of molecular biology, human genetics, and basic statistics, and will take on tasks spanning bespoke analysis of experimental data, data visualization, genomics data processing, and experimental design.
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.
- Analyze high-throughput experiments to assess data quality and identify hits.
- Support preclinical development programs with computational analyses.
- Build tools to automate recurring data analysis.
- Collaborate with machine learning scientists and engineers to build tools to streamline design of antisense oligonucleotide compounds
- BSc in Computer Science, Bioinformatics, Statistics, or a related field.
- Two years of relevant postgraduate experience or a graduate degree in Computer Science, Bioinformatics, Statistics, or a related field.
- Understanding of basic concepts in molecular biology and human genetics at the undergraduate level or higher.
- Solid statistics knowledge with ability to perform various statistical analyses independently.
- Solid knowledge of the Unix shell, Python, and Pandas.
- Comfort working in a fast-paced and rapidly evolving work environment.
- Experience with R and cloud computing.
- Experience with human genomics data (including next generation sequencing).
- A highly competitive salary and meaningful equity compensation (ESOPs).
- A wide array of company-paid benefits.
- Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.