Senior Research Associate

About UsDeep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning 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, genetics, chemistry and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created. 
About the RoleThe Senior 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 be responsible for helping lead screening efforts of novel RNA therapeutics across a range of cellular systems, aided by liquid handlers to enable high-throughput discovery. You will also support target validation, therapeutic lead optimization and drug profiling through the implementation and execution of novel molecular and cellular assays to advance our internal therapeutics portfolio. The ideal candidate will have strong cell biology and high-throughput screening experience in an industrial setting. Relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals. 
This position is onsite at our Cambridge, MA site.

Key Responsibilities

• Plan and execute screening assays to enable drug discovery, aided by high-throughput liquid handlers.
• Culture, maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines and primary cells.
• Support the development of novel molecular, cellular and functional assays for our internal therapeutic pipeline.
• Perform standard molecular biology techniques (e.g. PCR, qPCR, ELISA, Western blot, etc.).
• Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines.
• Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN).
• Communicate and present experimental design and findings with colleagues and project teams

Basic Qualifications

• BS or MS in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 2-4+ years of relevant pharmaceutical or biotechnology experience.
• Strong understanding of molecular and cell biology.
• Experience growing, maintaining and transfecting mammalian cell lines.
• Hands-on experience using liquid handlers is essential.
• Experienced in design and execution of molecular and cellular assays.
• Excellent communication, organizational skills and a willingness to learn.
• Ability to work independently and manage priorities in a fast-paced technical environment.

Preferred Qualifications

• Proficiency with specific liquid handlers such as the Beckman Echo, Agilent Bravo and Hamilton STAR/STAR V.
• Experience with primary hepatocytes or other primary human cells is highly beneficial.
• Past experience with RNA editing and/or RNA oligonucleotides.
• Next-generation sequencing library preparation, including single-cell methods.
• Demonstrated experience working in cross-functional teams.

What We Offer

• A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. 
• Highly competitive compensation, including meaningful stock ownership.
• Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. 
• Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
• Maternity and parental leave top-up coverage, as well as new parent paid time off. 
• Focus on learning and growth for all employees - learning and development budget & lunch and learns.
• Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

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