PostDoc in Health Data Science

We are looking for postdoctoral fellows who are eager to become intellectual leaders in complex systems research, its applications in network medicine and health data science and who share our commitment to the betterment of society and our planet through science. We support early-career researchers who are taking their initial steps toward leading a complexity science research group, and who desire not only research experience but also professional skills to enhance their future careers. The prospective candidate will be expected to develop new precision medicine approaches to improve well-being by linking large-scale observational health data with physiological and omics data.

• Doctoral (PhD, Doctor, or equivalent) degree in the natural, physical, or social sciences, mathematics, computer science, engineering, or related disciplines with a strong quantitative foundation; experience in applying these quantitative skills in the domains of clinical research, bioinformatics, epidemiology, public health, or related fields.
• Evidence of successful research productivity - journal articles, books/chapters, conference presentations, computational packages, databases or dashboards etc. - as specific to your discipline.
• Proficiency in English

• Fully funded postdoc position embedded in an interdisciplinary team working in close collaboration with a newly founded research institute for network medicine.
• Individualized guidance from an international team of advisors
• Scientific leadership and professional development workshops
• Practical experience aligned with career goals in academia, government, or industry
• Training in ethical and technical facets of working with real-world data

The Complexity Science Hub (CSH) is Europe's research center for the study of complex systems. We derive meaning from data from a range of disciplines - economics, medicine, ecology, and the social sciences - as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 75 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today's and tomorrow's challenges.