Senior Software Engineer (Full Stack) at Deep Genomics

Toronto, Ontario, Canada

Deep Genomics Logo
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

Key technologies and capabilities for this role

ReactPythonGCPSQLNoSQLmicroservicesAPIsSDKsCLI toolsBenchlingWeights & Biases

Questions & Answers

Common questions about this position

What compensation and benefits does Deep Genomics offer?

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.

Is this role remote or does it require working from an office?

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.

What are the key skills required for the Senior Software Engineer role?

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.

What is the company culture like at Deep Genomics?

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.

What makes a strong candidate for this Senior Software Engineer position?

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.

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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