Area of research: Studentische Hilfskräfte Job description: : Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world. The (ICB) is a dynamic, young and innovative institute that is engaged in the development of artificial intelligence methods for biomedical applications. In this highly explosive and relevant field of research we are one of the largest and most recognized institutes in Germany. On a national and international level we are active and recognized in numerous initiatives and networks. We provide a fun and collaborative environment to learn and grow. Close guidance and supervision from a mentor can be expected. Furthermore, this project entails the chance to co-author a scientific publication. We are looking for a highly motivated Part time, 8 hours/week or ‘geringfügige Beschäftigung’ Neuherberg near Munich Students Your mission You will be in charge of analyzing electronic health record data and implementing exploratory visualization and machine learning methods in the process. This position is purely computational, with a software engineering and scientific research focus. Your qualifications
Enrolled at a university or university of applied sciences Quantitative and/or clinical background, e.g. Medicine, Bioinformatics, Computer Science, Maths, Physics etc. is required as well as strong programming skills in Python. Previous experience with electronic health record data, machine learning or the implementation of complex software is advantageous. Experience working in a programming team is also valuable (GitHub, Hackathons, etc.). What we offer you scientific training work-life balance flexible working hours & time off in lieu 30 days annual leave on-site health management service career consultation mobile work on-site nursery company pension scheme discounted public transport ticket Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment. This position also provides the opportunity for you to build specialist knowledge and collect significant professional experience, both of which will help advance your scientific career. Remuneration and social benefits are based on the collective wage agreement for public-sector employees (Tdl). The position is limited to one year. To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Interested?If you have further questions, simply contact Lukas Heumos, +49 89 3187 48782, who will be happy to be of assistance. **Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Institute of Computational BiologyIngolstädter Landstraße 1 85764 Oberschleißheim** Award for excellent gender equality policy for women and men. Helmholtz Zentrum München is particularly committed to promoting professional equality between women and men. It therefore aims to increase the proportion of the underrepresented sex in the respective field. The Helmholtz Zentrum München is part of the Helmholtz Association, Germany’s largest scientific organization. Altogether 42.000 people currently work in its 19 scientific-technical and biological-medical research centers. The Association’s annual budget amounts to around 5 billion Euros. This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany’s largest scientific organisation.
https://www.nature.com/naturecareers/job/student-assistant-hiwi-fmx-electronic-health-record-analysis-helmholtz-zentrum-munchen-german-research-center-for-environmental-health-hmgu-750689
