Research Associate – All levels
| Company | Deep Genomics |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Junior, Mid Level |
Requirements
- Master’s degree in a relevant scientific field with 2+ years of industry experience.
- Comfortable conducting mammalian cell culture diligently.
- Prior hands-on experience with highly complex libraries (e.g. MPRAs) or working with a large number of samples in parallel.
- Comfortable working as part of a team in a dynamic and fast-paced research environment.
- Strong organizational and communication skills.
- Strong attention to detail in executing experiments, troubleshooting, and maintaining records.
Responsibilities
- Maintain cultures of commonly used human cell lines.
- Conduct standard bacterial cloning workflows including electroporation.
- Perform transfections of various nucleic acid payloads in both pooled (i.e. library) and arrayed formats.
- Purify cellular material (e.g. DNA, RNA, and protein) from treated cells (in both manual and automated fashions).
- Perform, interpret, and troubleshoot standard molecular biological techniques including PCR, qRT-PCR, plasmid cloning, and Illumina library preparation.
- Handle automation machinery such as the Hamilton, BRAVO, and Echo to automate screening workflows as necessary.
- Maintain detailed electronic laboratory records.
- Analyze data, generate summary slide decks and regularly present to internal teams.
- Assist in general lab duties such as lab equipment maintenance and inventorying.
Preferred Qualifications
- Experience planning and conducting complex screening workflows (e.g. MPRA, CRISPR, Perturb-Seq, etc.).
- Evidence of leading a complex project in molecular/cellular biology (e.g. first author publications, prior work experience, patent authorship, etc.).
- Expertise in RNA biology.
- Familiarity with diverse NGS workflows (e.g. short-read, single cell, long-read).
- Comfortable performing straightforward analyses that involves command line tools or common programming languages (e.g. Python, R, etc.).
- Experience working in a fully integrated lab environment that utilizes online lab systems tracking software such as Benchling.