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 Principal Research Associate/ Research Scientist will join our in vivo Pharmacology team within the Platform Biology group 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 in vivo therapeutic efficacy testing efforts of novel RNA therapeutics in various animal models. You will also support target validation, therapeutic lead optimization and drug profiling through the implementation and execution of novel molecular assays to advance our internal therapeutics portfolio. The ideal candidate will have a strong molecular biology background with expertise in processing tissue samples as well as experience with rodent models. 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. Title is commensurate with prior experience. This position is onsite at our Cambridge, MA site.Key ResponsibilitiesPerform standard molecular biology techniques in a consistent and reproducible manner (e.g. PCR, qPCR, ddPCR, ELISA, Western blot, Jess/Leo capillary-based Western blot, etc.).Support the development of novel molecular, cellular and functional assays on animal samples for our internal therapeutic pipeline.Plan and execute in vivo rodent studies to enable drug discoveryCollaborate 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 teamsBasic QualificationsDegree in Pharmacology, Biology, Molecular Biology, Genetics, Biochemistry or a related field with a BS and 6-8+ years of relevant experience, a MS and 4-6+ years of relevant experience, or a PhD and 0-2+ years of relevant pharmaceutical or biotechnology experience.Strong understanding of molecular biology and tissue sample processing for RNA and protein readouts as well as a familiarity with Next-Generation Sequencing techniques (NGS).Experience with rodents, running animal studies, and in vivo study design is highly desirable.Experienced in design, execution and analysis of molecular assays.Excellent communication, organizational skills and a willingness to learn.Ability to work independently and manage priorities in a fast-paced technical environmentPreferred QualificationsHands-on experience using liquid handlers is preferred (ex. Beckman Echo, Agilent Bravo and Hamilton STAR/STAR V.).Past experience with RNA editing and/or RNA oligonucleotides.Knowledge of histology and immunohistochemical assays and quantification is a bonus.Demonstrated experience working in cross-functional teams.Experience working in an advanced data and computing environment.What we offerA 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.
