Software Engineer, Full Stack (Document Canvas)

2 нед. назад

173.4k–234.6k USD / yearUSAHybrid

javascriptreacttypescriptnode.js

Software Engineer, Full Stack role focused on developing 's Notebook product within an AI-driven biotech platform.

Обязанности

Own large-scale projects end-to-end, from ideation with cross-functional partners, through to rollout to end-users.
Engineer across our stack, from designing and implementing backend models & APIs to crafting rich frontend components and architecture.
Collaborate closely with product managers, designers, and other teams to build the best product possible for our users.
Create entirely net-new products, while also investing in taking existing products to feature completeness.
Be a core team member, mentoring engineers on the team, while also leading technical & architectural discussions among engineers inside & outside the team.
Dive into a mature codebase, help shape a north star vision for technical investments and build an incremental roadmap to drive towards it.
Help shape the way we work together, while also participating in technical & architectural discussions among engineers inside & outside the team.

Требования

You have 5+ years of experience in a fulltime software engineering role.
Build software with a product-first approach. You ship code quickly and care about the real world impact of your code.
Experience developing both user-facing & backend experiences in a web application.
Experience with React, or similar javascript-based frontend application frameworks
Experience leading large, sophisticated, long-term initiatives, while also breaking down this work into smaller, iterative projects.
Enjoy a high-degree of ownership in key areas of the software product you’re building
Are interested in learning more about life science (prior knowledge is not required; desire to learn is a must).

Другое

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. is the AI platform for biotech R&D. Scientists use to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI
is seeking a Software Engineer to join our Document Canvas team, one of three teams that own ’s widely-used Notebook product. At , we’re on a mission to accelerate the pace of life sciences research. To do that, we build a suite of tools that scientists use daily to solve humanity's most pressing problems. To achieve our mission, the Document Canvas team is focused on delivering a powerful, flexible, and user-friendly digital lab notebook that enables scientists to plan, document, and share their research seamlessly. As a member of this team, you'll play a key role in building intuitive interfaces, developing robust backend services, and ensuring our platform scales to meet the needs of scientists around the world. You'll collaborate closely with product manager
Our team values technical excellence, a deep understanding of user needs, and a commitment to building products that make complex scientific work easier and more efficient. If you're excited about solving challenging technical problems that have a meaningful impact on global health and innovation, we’d love to hear from you.
We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).
#LI-Hybrid
#BI-Hybrid
#LI-GP1
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.