$ cat jobs/data-scientist-hilobyaktiia-4afea1a709dd.json
Data Scientist
About Hilo by Aktiia High blood pressure is the world's most common disease, causing 18 million deaths each year. At Hilo by Aktiia, our vision is a world where no lives are lost or damaged from the effects of high blood pressure. Our mission is to make this a reality by developing tech to help people control their blood pressure. We are a venture-backed scale-up, having raised over $96M from investors in Europe and the United States. Our technology — rooted in 18 years of research at the Swiss Center for Electronics and Microtechnology (CSEM) — is the world's only medically accurate, continuous blood pressure monitor that is cuffless in daily life in the consumer space. Validated through extensive clinical trials and CE Marked as a Class IIa medical device, our solution is now available in 12 countries. In July, we launched in the US — a major step in bringing Hilo's technology to the millions of Americans living with high blood pressure. We are a hybrid/remote-first company, headquartered in Neuchâtel, Switzerland, united by our passion for impact and innovation. Role Overview We're looking for a Data Scientist who can turn large, complex real-world and clinical datasets into robust statistical analyses, models, and actionable insights. You will work on clinical, scientific, product, and business questions and translate data into findings that support scientific publications and informed decision-making across the company. This is a hands-on role with a high degree of autonomy, where you will independently take analytical questions from data preparation through statistical analysis and interpretation, while collaborating closely with clinical, scientific, product, and engineering teams. Requirements What You Will Own Mine and analyse large-scale real-world data from Aktiia's databases to identify patterns, trends, and relationships related to clinical outcomes, product performance, accuracy, and usage Design, perform, and interpret statistical analyses of clinical