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Helical is on a mission to democratize bio foundation models.
We build the first open-source platform for researchers & computational biologists to explore bio foundation models and create value-added applications on top of those models. We are dedicated to driving innovation in the biotech industry and revolutionize the way pharma and bio companies use AI.
Join us to be part of the early-stage founding team of Helical driving groundbreaking innovation and play a meaningful role in contributing towards us achieving 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 !)
As an early member of Helical’s core Machine Learning team, you'll collaborate with Computational Biologists, Developers and Biological Scientists to develop the core pillars of our open-source AI platform and to drive novel drug development applications using cutting-edge bio foundation models methods. You'll play a pivotal role in leveraging computational experiments and data insights to contribute directly to drug discovery programs.
· Create your own roadmap and drive forward your own projects
· Build an ML computational platform for bio foundation models, ensuring ease of use and reproducibility.
· Collaborate with the Science team to pioneer Computational Biology methods for drug development and other biological applications.
· Develop Machine Learning workflows to enable the efficient use of bio foundation models in the context of biological applications
· Utilize diverse datasets including statistical genetics, genomics, proteomics, etc., to derive biological insights.
· Lead projects within the ML Team, evaluating and benchmarking experimental models.
· Drive team strategy and provide guidance on ML to the organization.