Verge Genomics · 1 month ago
Principal Full-Stack Engineer (Django)
Verge Genomics is on a mission to accelerate drug discovery using artificial intelligence and human data. The Principal Full-Stack Engineer will be responsible for developing user-facing web applications and building a self-serve SaaS platform to enhance data accessibility for internal stakeholders and future external customers.
BiotechnologyGeneticsHealth CareMachine LearningNeuroscience
Responsibilities
Mature internal target discovery service into self-serve tool for internal stakeholders
MVP of self-serve SaaS platform built on top of internal service to allow external customers to leverage Verge's proprietary dataset and tools
Design and build user-facing web applications that transform data platform outputs into intuitive, self-service products for internal and external customers
Develop Django-based interfaces including views, templates, forms, and APIs that enable users to interact with underlying data and analysis
Create interactive dashboards, data visualization tools, and exploration interfaces that make complex data accessible to non-technical users
Collaborate with the Data Engineer to understand data structures, APIs, and pipeline outputs, translating them into compelling user experiences
Build authentication, authorisation, and user management systems to support multi-tenant SaaS operations
Implement customer onboarding flows, account management interfaces, and self-service configuration tools
Integrate charting and visualization libraries (D3.js, Chart.js, Plotly) to produce scientifically accurate and user-friendly data displays
Build RESTful APIs and backend services that connect Django applications to the underlying data platform
Participate in user testing and gather feedback to iteratively improve product usability and feature set
Establish automated testing frameworks and CI/CD pipelines for reliable deployments
Monitor application performance, user behaviour analytics, and error tracking to identify improvement opportunities
Work cross-functionally with science, engineering, and commercial teams to prioritise features and gather requirements
Qualification
Required
Either: BS/MS in computer science or related field and demonstrable professional experience in software engineering within genomics, drug discovery, or biotech or, BS/MS in biology or other relevant scientific field, and demonstrable professional experience in software engineering in any vertical
7+ years of professional experience building web applications as a full-stack engineer, with extensive experience of Django
Extensive experience with frontend frameworks or libraries (React, Vue, or similar)
Significant experience using data visualization libraries (D3.js, Chart.js, Plotly, etc.) to create impactful charts and dashboards for a variety of user stories
Deep understanding of the pros and cons of different databases for different use cases, and strong opinions on abstractions such as GraphQL and SQLAlchemy
Mastery of version control (Git), testing frameworks such as Pytest and Jest, and CI/CD pipelines
Professional fluency with web security best practices (CSRF, XSS, authentication, authorization) and state management
Demonstrable experience conceiving and implementing thoughtful user interfaces (whether hand-rolled or utilizing modern component libraries and frameworks) that help users rapidly experience the value of a service
Comfortable translating technical capabilities and internal functionality into user-facing features and benefits
Deep playbook for collaborating with both technical (e.g. data engineers, scientists) and non-technical (e.g. business development) stakeholders
Ability to thrive in uncertainty with frequently changing priorities
Deep alignment with our values https://www.notion.so/verge/A-Primer-on-Verge-Culture-and-Values-3105f4e68d674eb3ad7adac362776358
A passion for making an impact on patients
Preferred
Previous experience building SaaS products or multi-tenant web applications
Knowledge of modern CSS frameworks and component libraries
Extensive experience with web sockets or other real-time data streaming technologies in a web application context
Familiarity with the challenges of, and approaches to, working with data-intensive applications or scientific software
Experience working with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
Working knowledge of user analytics tools (Mixpanel, Amplitude, Google Analytics)
Previous experience collaborating with scientific or technical end-users
Company
Verge Genomics
Verge Genomics uses machine learning and human genomics to accelerate drug discovery.
Funding
Current Stage
Growth StageTotal Funding
$134.12MKey Investors
BlackRockThresholdIA Ventures
2023-07-01Series Unknown
2021-12-16Series B· $98M
2018-07-17Series A· $32M
Leadership Team
Recent News
2025-06-02
Company data provided by crunchbase