Research Associate

2 weeks ago


Toronto, Canada Deep Genomics Full time

**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. We take 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.

**Where You Fit In**

You will be responsible for carrying out drug screens in advanced cell culture models. You will then support efforts to validate the mechanisms of action for the molecules discovered. You will be generating or adopting novel cellular models to support future projects. You must be organized and clear in your experimental reports.

**What you will do**:

- Perform a wide variety of standard molecular and cellular biology techniques to support exploratory and validation-based benchwork (eg. ELISAs, luciferase, high content imaging, RT-qPCR, nucleic acid and protein isolation).
- Routine culture/treatments of primary hepatocytes, cancer cell lines, iPSC derived neurons, and handling of mouse tissues.
- Conduct high-throughput screenings and handle robotics/high-performance equipment to support research efforts.
- Document experimental results and findings and present work internally.

**What you bring**:

- Demonstrated organizational, interpersonal, and communication skills.
- Experience in aseptic mammalian cell culture techniques.
- Expertise in one or more of the following assays: ELISAs, AlphaLISAs, luciferase assays, high content imaging, viability assays, RT-qPCR/PCR, branched DNA, DNA/RNA/protein isolation, western blotting and/or high-throughput screening.
- Good understanding of experimental design and the basic principles behind common molecular biological assays.
- Self-motivated with a proven ability to be highly productive in a face-paced environment.
- Ability to work independently and effectively in a highly collaborative environment.

**Nice-to-have**:

- Strong background in mRNA regulatory mechanisms
- Understanding of pharmacodynamics/pharmacokinetics
- Automation experience
- Statistical analysis background and experience in data interpretation
- Some Python/R coding experience and/or machine learning knowledge
- Industry experience

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.


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