Associate Director, in vitro Pharmacology

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.

About the Role

The Associate Director, in vitro pharmacology will lead the target validation function at Deep Genomics with the goal of advancing our RNA editing therapeutics portfolio. This is a leadership role designed to make a significant impact on the therapeutic pipeline, requiring the ability to lead strategically, execute tactically, and influence others in a highly matrixed and multidisciplinary team.

As a key member of an early-stage discovery team, you will demonstrate initiative and ownership in both scientific and strategic decisions with an entrepreneurial mindset. You will work closely with therapeutic program teams and the Target Identification team to translate AI-derived target nominations into clear action plans leading to go/no-go decisions. Success in this role involves leading from the bench while supervising junior scientists directly and indirectly, anticipating needs proactively, and independently seeking solutions.

Hiring Process

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment; final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.