MAASTRO’s strategic goal is to tailor cancer treatments to the clinical, biological and genetic characteristics of an individual patient so that the best outcome can be achieved. An important part of MAASTRO’s strategy is the research strategy Personal Health Train (https://vimeo.com/143245835) where artificial intelligence algorithms can be securely sent between multiple data centres to learn personalized cancer treatment decision-making models, without violating patient privacy.

Together with our partners in India - Tata Memorial Hospital, HealthCare Global Hospitals, C-DAC and Philips Research Bangalore, and MAASTRO Innovations BV in The Netherlands - MAASTRO has received NWO/MeITYy Indo-Dutch funding for a 4 year research project called TRAIN (personal health Train for RAdiation oncology in India and the Netherlands).

The general aim of TRAIN is to unite academic, industrial and clinical leadership to improve radiotherapy treatment for head-and-neck cancer patients using a fully distributed “Big Data” approach encompassing clinical outcomes, natural language processing and medical imaging. Data from top academic hospitals and cancer clinics around the world will be utilised to develop and test Clinical Decision Support Systems that aim to improve treatment and survivorship experiences of patients suffering from Head and Neck cancers.

In this project, you will be deeply integrated into a multidisciplinary team comprising clinical oncologists, medical physicists, software engineers and clinical data scientists to jointly build upon years of experience in Distributed Big Data, to unlock the richly multi-dimensional information stored in hospitals worldwide.

You must demonstrate a profound and continuous commitment to improving the lives of cancer patients through the use of data to inform clinical decision-making.

Specifically, you will be working with persons of different backgrounds and multiple levels of technical and clinical expertise, in order to (i) deploy technology, (ii) develop robust models and (iii) validate complex multifactorial clinical decision-support systems for individually personalized head and neck cancer treatments.

You will be required to travel globally, for up to 3 months at a time, whenever instructed by the Principal Investigators. You will be mentored to perform as a highly competent member of a Clinical Data Science team in situations that are challenging and uncertain.

Fixed-term contract: 4 Years.

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website http://www.maastrichtuniversity.nl/, Working at UM.

GROW - School for Oncology and Developmental Biology

GROW focuses on research and teaching of (epi)genetic, cellular and (micro)environmental factors and mechanisms underlying normal (embryonic and fetal) and abnormal (cancer) development, with emphasis on translational research aiming at innovative approaches for individualizing prevention, patient diagnostics and treatment.

https://www.maastrichtuniversity.nl/research/school-oncology-and-developmental-biology