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Helical is on a mission to democratize bio foundation models.
Helical is a model-agnostic open-core AI platform for Bio Foundation Models and their applications. It spans across the data, model and application layer by providing an integrated data atlas, open-source and proprietary Bio Foundation models and an agentic AI framework.
We are dedicated to driving innovation in the biotech industry and revolutionize the way pharma and bio companies use AI.
Helical raised over 3M€ in its Seed-funding round from leading VCs in France and the US as well as prominent Business Angels s.a. The CEO of HuggingFace, the CEO & CTO of Cohere, …
Join us to be part of the early-stage fast-growing founding team of Helical driving groundbreaking innovation and play a decisive role in contributing towards our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture in the heart of Europe.
Our github: https://github.com/helicalAI/helical/(successful candidates have a good idea of what we are doing here !)
Our Website: https://www.helical-ai.com/
As a research-focused Computational Biologist & ML scientist at Helical, you'll collaborate with product team, ML engineers and scientists to work with the latest single-cell, DNA and RNA Bio Foundation Models and new innovative use cases and applications that change the way drug discovery works.
You will test out new ideas and assumptions that the product-team will leverage to build out new functionalities and use cases.
In this strategic role, you will have senior exposure at the the leadership team and customers to test new assumptions. Additionally, you work closely with the product team to develop new product features and iterate on client feedback.
As a member of the founding team, you will be crucial in shaping our platform and build our enterprise business.
· Understand and work with the latest Bio Foundation Models
· Combine your computational biology and machine learning skills to build new use cases from scratch in Python