We are the University Medical Centre Hamburg-Eppendorf (UKE), a vibrant healthcare community right at the heart of Hamburg. There is a real buzz of energy here, as progress sets the pace and every day offers fresh experiences. Around 11,000 members of sta with a huge diversity of roles are united in pursuit of a single aim: human wellbeing.
With more than 140 different professions, we are the ideal place for anyone who loves to work in a flexible environment, for anyone ambitious to advance their own personal development and that of healthcare as a whole.
What we can offer
> An innovative, family-friendly working environment right in the middle of Hamburg (day nursery, free child care during the school holidays)
> Opportunity to participate in a wide range of vocational training, continuing and further education courses at the UKE Academy for Education and Careers, as well as a broad spectrum of introductory events
> An attractive company pension scheme and the use of diverse and multiple award-winning health and illness-prevention offers
What to expect
We are looking for a Ph.D. student (m/f/d) in the research group “Developmental neurobiology and pediatric neurooncology” (under the direction of Prof. Dr. U. Schüller, http://www.kinderkrebsforschung.de/en/research/schueller-research-group/
The successful candidate is expected to establish novel approaches in the diagnostics and research of cerebrospinal fluid (CSF) from brain tumor patients. First, this includes the identification of genetic alterations and epigentic characteristics in cell-free tumor DNA within the CSF, which will be key in order to enter a new era of initial disease diagnostics and tumor monitoring. On the other hand, machine learning algorithms will be used to identify tumor cells within the CSF that are missed by current conventional methods. These analyses will be performed on samples that are supplied from the tighly connected departments of pediatric oncology and neurosurgery on a daily basis and that are sent to the institute of neuropathology that serves – together with Prof. Schüller as a senior physician - as a national reference center for CSF diagnostics in children’s brain cancer.
This is a 65 % position, starting at the next available time point and limited for 3 years.
Tasks will include:
> Extraction and analyses of nucleid acids from CSF samples
> Microscopy and scanning of cytospins preparations from brain tumor patients’ CSF
> Genration of machine learning alorithms
> Generation, interpretation and illustration of global molecular data (sequencing, DNA methylation, etc.)
What we look for in a candidate
> University degree in bioinformatics and/or natural sciences or (e.g. computational biology, molecular medicine, biology, biochemistry)
> Ideally knowledge in handling omics data and applying bioinformatic methods
> Ideally knowledge of basic methods in molecular biology (e.g. nucleid acid extraction, PCR-based work, microscopy)
> Strong interest in science with the intention to stay in research
> Engagement, coordination and organisation skills, fast comprehension, self-reliance, ability to work in a team
> Ability to prepare, present and publish scientific data
> Candidates with equivalent skills and experience and high interest in the described research field are equally welcome to apply
Prof. Dr. med. Ulrich Schüller, research group leader, telephone: (040) 426051240 or e-mail: [email protected]
We can provide a working environment that offers equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. We uphold this by our adherence to the Diversity Charter. Specifically, we are aiming to increase the proportion of women in positions of leadership, in particular academic personnel in research and teaching. Priority consideration will be given to women in the event of equal qualification. The
same applies in the event of one gender being underrepresented in the recruiting department. People with a severe disability will be given priority where they have equal aptitude, qualifications and professional expertise.
We look forward to receiving your completed application by by 03th February 2020 stating reference code 2020-32 on our online portal.