About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
Opportunity
The Senior/Principal Research Associate will join our Platform Biology team and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will support novel target validation by utilizing a variety of genome engineering approaches in both pooled and arrayed formats.
The ideal candidate will have strong gene editing, cell biology, and molecular biology experience in an industrial setting. Prior experience with oligonucleotide therapeutics such as ADAR, ASO, and/or siRNAs is also highly beneficial. You should demonstrate strong initiative and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.
- Title will be commensurate with prior experience.
- Location: Cambridge, MA (Onsite)
What You'll Do
Key Responsibilities
- Genome Engineering: Plan and execute genome engineering experiments to generate models for target validation.
- Screening & Sequencing: Execute barcoded pooled screening assays, including Next-Generation Sequencing (NGS) library preparation.
- Assay Development: Support the development of novel biochemical, cellular, and functional assays for our internal therapeutic pipeline.
- Cell Culture Maintenance: Maintain and transfect a variety of mammalian cell lines, including immortalized lines.
- Molecular Biology: Perform standard molecular biology techniques such as PCR, qPCR, and molecular cloning.
- Collaboration & Documentation: Clearly document experiments, standard operating procedures (SOPs), and data in an electronic lab notebook (ELN). Collaborate across a dynamic, matrixed team environment to achieve shared company deadlines.
- Communication: Effectively communicate and present experimental designs and findings with colleagues and project teams.
What You'll Bring
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Biology, Molecular Biology, Genomics, Biochemistry, or a related field.
- Industry Experience: 2–4+ years of relevant pharmaceutical or biotechnology experience, specifically including gene editing in an industrial setting.
- Core Competencies: Strong understanding of molecular and cell biology, with hands-on experience growing, maintaining, and transfecting mammalian cell lines.
- Experimental Design: Proven experience in the design and execution of molecular and cellular assays.
- Soft Skills: Excellent communication and organizational skills, the ability to work independently, manage priorities in a fast-paced environment, and a strong willingness to learn.
Preferred Qualifications
- Experience in lentivirus generation, cell line engineering, or flow cytometry.
- Prior therapeutics development experience.
- Past experience working with RNA editing and/or RNA oligonucleotides.
- Next-generation sequencing library preparation experience (e.g., amplicon sequencing).
- Demonstrated experience collaborating successfully within cross-functional teams.
What We Offer
- The Frontier of Discovery: A collaborative and innovative environment at the intersection of computational biology, machine learning, and drug discovery.
- Financial Rewards: Highly competitive compensation packages, including meaningful stock ownership.
- Comprehensive Health: Full health, vision, and dental coverage for employees and their families, alongside an employee and family assistance program.
- True Flexibility: A flexible work environment including flexible hours, extended long weekends, an annual holiday shutdown, and unlimited personal days.
- Family Support: Top-up coverage for maternity and parental leave, plus dedicated paid time off for new parents.
- Growth & Location: An explicit focus on learning and growth with a dedicated learning and development budget and lunch-and-learns. Facilities are located in the heart of Toronto (an epicenter of AI research) and in Kendall Square, Cambridge (the global center of biotech).
