Senior Cloud Security Engineer
PaytientFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Deep Genomics offers highly competitive compensation, including meaningful stock ownership, comprehensive benefits like health, vision, and dental coverage for employees and families, employee and family assistance program, maternity and parental leave top-up, and new parent paid time off.
The role is part of a multidisciplinary team in Toronto and Cambridge, MA, with a flexible work environment including flexible hours, extended long weekends, holiday shutdown, and unlimited personal days.
The role requires 5+ years of professional experience as a software developer/engineer, strong proficiency in React and Python, and extensive experience in developing end-to-end web applications with modern frontend frameworks, server-side frameworks, cloud/microservices deployments, and SQL/NoSQL databases.
Deep Genomics offers a collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery, with close collaboration across product, engineering, machine learning, and biology teams, and a focus on mentoring junior engineers to elevate the team.
Strong candidates will have 5+ years of experience, proficiency in React and Python, end-to-end web application development skills, plus preferred qualifications like UX design knowledge, DevOps/CI/CD experience, familiarity with ML tooling, and genomic data experience.
AI-driven drug discovery and development
Deep Genomics focuses on drug development in the biotechnology sector by utilizing artificial intelligence to explore RNA biology and discover potential therapies for genetic conditions. The company's main product, the AI Workbench, employs data-driven predictions to identify new drug targets. This tool has evolved over time, with the latest version, AI Workbench 3.0, set to enhance its capabilities in targeting complex genetic diseases. Deep Genomics serves a diverse clientele, including pharmaceutical companies and research institutions, and generates revenue through the development and licensing of its AI Workbench. The goal of Deep Genomics is to accelerate the drug discovery process and improve treatment options for patients suffering from genetic disorders.