Causalis is a VC-backed startup partnering with the world’s leading pharma companies, building machine learning solutions to bring causal intelligence to healthcare. We are developing a platform of solutions based on novel and proprietary causal AI techniques, to help doctors, patients, and researchers understand and act on the cause-effect relationships in medical data. We are amulti-disciplinary, international team of experts in AI and ML, causal inference and data science, healthcare and medicine. We are looking for smart, driven and overall extraordinary individuals who are passionate about changing the world of personalized medicine, and eager to shape the future of Causalis.
Please contact us with CV/resume at email@example.com.
We're looking for an experienced data scientist to join as one of the ﬁrst members of the data science team, with the skills to take ownership from idea through implementation and deployment. You will been gaged in the early data exploration phase, health data engineering, development of causal models and other ML methods, evaluation techniques, and eventually product integration and follow-ups -- the essential challenges to make Causalis deliver ML solutions.