
Helical is focused on providing open-source bio foundation models, particularly in the realm of single-cell analysis, enabling scientists to leverage advanced AI tools for their research. Their platform offers a community-driven approach, allowing users to fine-tune and integrate these models into their workflows, thereby enhancing research capabilities in the biological sciences. With a commitment to accessibility and collaboration, Helical positions itself as a key player in the AI for bio sector, catering to researchers and developers looking for innovative solutions.

Helical is focused on providing open-source bio foundation models, particularly in the realm of single-cell analysis, enabling scientists to leverage advanced AI tools for their research. Their platform offers a community-driven approach, allowing users to fine-tune and integrate these models into their workflows, thereby enhancing research capabilities in the biological sciences. With a commitment to accessibility and collaboration, Helical positions itself as a key player in the AI for bio sector, catering to researchers and developers looking for innovative solutions.
What they do: Platform for Bio Foundation Models enabling in-silico experiments for drug discovery and R&D
HQ: Luxembourg
Stage / funding: Seed (closed Jun 28, 2024)
Founders: Mathieu Klop; Maxime Allard; Rick Schneider
Drug discovery and pharmaceutical R&D using AI-driven in-silico experiments
2024
Biotechnology Research
Reported seed round with seven investors
“Has participation from early-stage investors and angel/backer set including Frst and named investors”
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Drug discovery still relies on wet labs: slow, expensive, and constrained by physical trial-and-error. Helical is changing that.
We build the application layer that makes Bio Foundation Models usable in real-world drug discovery, enabling pharma and biotech teams to run millions of virtual experiments in days, not years. Today, leading global pharma companies already use Helical, and we’re at the start of a highly ambitious growth journey.
We’re a founder-led, talent-dense team building a category-defining company from Europe. We care deeply about the quality of our work, move fast, and expect ownership. If you’re excited by complexity, real responsibility, and shaping how a company actually operates as it scales, you’ll feel at home here.
We are seeking a Senior Web Developer with deep expertise in Next.js + React to lead the architecture and development of our user-facing dashboard.
This isn’t just another CRUD app — the dashboard orchestrates long-running workflows, displays high-volume biological and model data, and interacts with systems like Airflow, MLflow, and Jupyter. The complexity is real — and elegant frontend design is what makes it usable.
If you are exceptional at Next.js and React, understand how to structure component architectures that scale, and enjoy creating durable, well-designed UI systems, this is the role.
4+ years of experience building production React applications
React — component architecture, hooks, memoization, rendering patterns, suspense
Next.js — routing, data loading strategies, server vs client rendering decisions
TypeScript — types that clarify code, not complicate it
State management at scale — e.g., React Query, Recoil, Zustand, MobX, etc.
API design — crafting clear, consistent interfaces and integrating complex backend data structures.
Data modeling / database schema design
Experience with modern TypeScript ORM frameworks such as Prisma or Drizzle ORM
Experience with authentication and authorization flows using AWS Amplify Gen 2 and Cognito
Deploying frontend services using Docker on AWS
Implementing best practices in web security, including input validation, CSP headers, and safe API interaction.
Experience with component systems such as shadcn/ui
Strong background in testing:
Unit, integration, and E2E testing
Frameworks: such as Jest, React Testing Library, MSW, Cypress, Selenium, Playwright
Designing UI systems that remain clean as features expand
Experience with ML, scientific workflows, or data dashboards
Experience with Figma and a strong sense of UI/UX design, including layout systems, and usability principles.
Experience building stable UIs and designing APIs/systems around long-running or asynchronous backend operations
Familiarity with Airflow, MLflow, or Jupyter server APIs
Experience with Docker, Docker compose and containerized development environments
UI/UX sensitivity for scientific tools and data visualization