Senior Cloud Security Engineer
PaytientSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, AI, Drug DiscoveryIndustries
Requirements
- 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
Responsibilities
- Design and implement full stack internal web applications deployed to the cloud (GCP)
- Design and implement Python libraries, APIs, SDKs, and CLI tools to enable and accelerate 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
Skills
React
Python
GCP
SQL
NoSQL
microservices
APIs
SDKs
CLI tools
Benchling
Weights & Biases
Deep Genomics
AI-driven drug discovery and development
About Deep Genomics
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.
Toronto, CanadaHeadquarters
2014Year Founded
$230.3MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, BiotechnologyIndustries
51-200Employees
Benefits
Company Equity
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Professional Development Budget
Risks
Increased competition from companies like Insitro and Recursion Pharmaceuticals.
Rapid technological advancements may render current AI Workbench obsolete.
Ethical concerns and regulatory scrutiny could delay product development timelines.
Differentiation
Deep Genomics uses AI to unravel RNA biology for drug development.
The AI Workbench identifies novel drug targets and therapeutic candidates.
BigRNA model advances RNA disease mechanism discovery and candidate therapeutics.
Upsides
AI integration with CRISPR allows precise gene editing and therapeutic development.
AI-driven platforms optimize clinical trial designs, reducing costs and time to market.
AI identifies novel biomarkers, expanding target discovery capabilities.
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