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 a multi-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 firstname.lastname@example.org.
We're looking for an experienced Software Engineer to work on data and ML infrastructure. You will help deﬁne strategy and execution for our backend (including devops, security and compliance, data ingestion and databases), and ensure that we provide reliable and scalable service internally and externally.