in computational medicine
The Sano Centre for Computational Medicine is a new International Scientific Foundation located in Kraków, Poland. Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives. Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.
Sano will act as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements onto clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading center on a global level.
As a cross-disciplinary institution, Sano will use machine learning/artificial intelligence (ML/AI), large scale computer simulations, data science, and other computational technologies towards overcoming global challenges in healthcare systems. The research agenda will be executed in close collaboration with Partners in Poland, EU and USA.
Sano’s Research Agenda is built on six research pillars, interacting with each other. For each of the pillars, Sano aims to attract senior professionals to assume positions of Group Leaders. Although fully independent, all of the groups at Sano will be working in concert to invent computational healthcare solutions of the future.
Personal Health Data Science will work on computational solutions for disease prevention, shifting healthcare philosophy from reactive to proactive and understanding factors affecting human health. The group will develop machine learning methods for analysis and creation of personal health predictive models as well as use or artificial intelligence in public health and epidemiology using vast amounts of data from various sources ranging from wearables, IoT, clinical data to and data from Polish centralized healthcare system.
Ultimate goal would be to create a personal health tracking system, able to collect many types of information and predict existing and future risks, present the user with ways to avoid diseases and provide knowledge on how to improve overall health. From the public health perspective data analytics will be used to understand various factors affecting public health.
Sano invites excellent, experienced scientists, willing to work in an academic startup environment to apply for the Group Leader position. The perfect candidate is a seasoned, independent researcher, with a history of leading a research team, keen to address new challenges and willing to work on technologies of the future in a collaborative environment.
Group Leaders will be key Sano employees, shaping the research strategy of the organization to ensure scientific and commercial success. Collaboration between research Groups will allow the best possible technological solutions to be incubated for clinical and industrial translation.
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