Uncubed
   

Scientist - R&D RNA Biology

Deep Genomics, Toronto, Ontario

Creating A New Universe Of Genetic Medicines

Duration: Full-Time


About Us 

We are 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, we bring 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.

About the role

As a Scientist in R&D RNA biology, you will work with our multidisciplinary team of computational biologists, machine learning scientists, software engineers, and wet-lab scientists to identify and interrogate novel DNA and RNA regulatory mechanisms. You will use your molecular biology expertise to design proof-of-concept experiments to help identify how antisense oligonucleotide therapies give rise to their on- and off-target effects. You will collaborate with computational scientists to develop machine learning models of DNA and RNA biology and utilize these models to predict effective antisense oligonucleotides. You are an ambitious and creative molecular biologist with an interest in using your expertise in molecular biology to revolutionize drug development. 

What will you do?

  • Utilize different gene expression assays to screen oligonucleotide compounds for their effect on target RNA and/or protein levels.
  • Interrogate how oligonucleotides can be used to impact expression regulation at the transcriptional, post-transcriptional, and translational levels using techniques including, but not limited to: reporter based assays, protein/nucleic acid pulldowns, or RNA stability/nascent RNA measurements.
  • Routine culture/treatments of iPSC derived neurons, hepatocytes, and other in vitro models and cell lines.

What do you bring?

  • A PhD in the biological sciences with at least 2 years of postgraduate experience, preferably in a biotechnology or pharmaceutical industry setting.
  • Graduate or postgraduate experience in developing assays to interrogate RNA biology.
  • Graduate or postgraduate experience with standard techniques in molecular and cell biology including, for example, general cell culture, genetic manipulation of mammalian cells (e.g. CRISPR/Cas9), DNA/RNA/Protein isolation and analysis, cell sorting, ELISAs, RT-qPCR. 
  • Great communication and organization skills and comfort working with limited supervision in a fast-paced and rapidly growing work environment.
  • Outside-the-box thinking: a creative and innovative mindset.

Nice to have:

  • Previous experience working with antisense oligonucleotides, iPSCs, neural stem cells, hepatocytes, or immortalized/cancer cell lines.

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.


About Deep Genomics

Deep Genomics is using artificial intelligence to build a new universe of life-saving genetic therapies. The future of medicine will rely on artificial intelligence, because biology is too complex for humans to understand. At Deep Genomics, our geneticists, molecular biologists and chemists develop new ways of detecting and treating disease using our biologically accurate artificial intelligence technology.

Deep Genomics

Want to learn more about Deep Genomics? Visit Deep Genomics's website.