Senior Software Engineer, Deep Genomics
Full Stack
+ Stock
AI powered RNA therapy discovery
Be an early applicant
AI powered RNA therapy discovery
101-200 employees
Be an early applicant
+ Stock
101-200 employees
Company mission
To untangle the complexity in RNA biology, and evaluates thousands of possibilities to identify the best therapeutic candidates.
Role
Who you are
- 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
Desirable
- 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 the job involves
- 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
- 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
Our take
Deep Genomics uses AI to analyse genetic data with the aim of discovering and producing RNA-based genetic medicines. The company is currently running a series of programs with the aim of advancing to clinical trials in the near future.
RNA medical technology has been in development for over 40 years but never became mainstream, but the launch of BioNTech / Pfizer’s Covid-19 vaccine threw it into the public spotlight. This is set to accelerate the production of more and more RNA-based therapeutics, supplemented by AI which can quickly mine dense biological data to better evaluate potential candidates.
With its financial backing in the hundreds of millions, Deep Genomics now intends to radically boost its headcount and roll out more therapeutic discovery programs.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-22% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2021
$180m
SERIES C
Jan 2020
$40m
SERIES B
Total funding: $236.8m
Company benefits
- Highly competitive compensation, including meaningful stock ownership
- Health, vision and dental coverage for employees and families
- Flexible vacation time
- Facilities located in the heart of Toronto, next to the university and hospitals
- Direct access by subway, car and bicycle
- Hundreds of restaurants with foods from around the world
- Regular social events for team members and their families
Company HQ
Discovery District, Toronto, ON
Leadership
Brendan Frey, Ph.D.
(CEO)Professor of Engineering and Medicine at the University of Toronto. Co-founded the Vector Institute for Artificial Intelligence. They have carried out pioneering work in the fields of deep learning, genomic medicine, and information technology.
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