3 data scientist jobs found in Zürich

About Me Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in 2028, and then as a medically cleared product in the US. Our team consists of over 30 staff members, including more than 20 PhDs, with deep expertise in entrepreneurship, product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland. Your mission What could you build on top of real-time and non-invasive glucose monitoring? That is what Liom is all about, and we want to beat Apple at it. Machine learning, personalized health, predictive, and preventative medicine. If these areas resonate with you, join us to work on foundational technological and scientific challenges at Liom. We are a Swiss HealthTech venture with the...

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include...

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of around 75 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake in...