Senior Software Engineer (Full Stack) at Deep Genomics

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our cutting-edge 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

As a Senior Software Engineer (Full Stack), you will build tools and services for our AI-based drug discovery platform. These include building internal web applications and software solutions to make our data and AI easily discoverable, accessible, interpretable and maximally effective for everyone in the R&D organization. Through close collaboration with teams across product, engineering, machine learning, and biology, you’ll help push the boundaries of drug discovery through thoughtfully engineered systems.

Key Responsibilities

• Design and implement full stack internal web applications deployed to the cloud (we use GCP).
• Design and implement Python libraries, APIs, SDKs, and CLI tools to enable and accelerate our R&D efforts.
• Implement robust integrations with 3rd party platforms such as Benchling and Weights & Biases.
• Mentor junior engineers with a mindset of elevating the team as a whole.
• Collaborate closely with product managers, scientists, and engineers to build innovative products that enable and accelerate drug development, and unlock new opportunities.
  
  

Basic Qualifications

• 5+ years of professional experience as a software developer/engineer.
• Strong proficiency in React and Python.
• Extensive experience in developing and designing end-to-end web applications with modern frontend frameworks, server-side frameworks with cloud/microservices deployments, and SQL/NoSQL databases.
• Intimate knowledge of the entire software engineering process from design, to implementation, documentation, testing, deployment, and maintenance.
  
  

Preferred Qualifications

• Understanding of UX design principles with experience in designing simple and intuitive user interfaces.
• Knowledge of DevOps, CI/CD, and security in cloud environments.
• Familiarity with ML model development processes and tooling.
• Experience working with genomic data (our scientists also enjoy helping with impromptu lessons).
  
  

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.

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.