Discover here more job vacancies on academics – the leading job market for science and research. In order to receive information about suitable job vacancies regularly by email, you can register with us free of charge at any time.
Neuroscience data analyst (f/m)
Published(472 days ago)
Deadline for applications(451 days ago)
Universitätsmedizin Göttingen (UMG)Göttingen
The European Neuroscience Institute Göttingen (Germany) is seeking a
data analyst (f/m)
initially limited until December 31st 2019 with extension options, fulltime, salary according to TV-L
The University Medical Center Göttingen is a tertiary care center and offers great development potential. Its 7,700 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching. Göttingen, "City of Science", located near the center of Germany, the University Medical Center Göttingen is embedded in the city's attractive network of scientific research facilities.
The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst will work closely with all of the various research groups at the European Neuroscience Institute, supporting research efforts, e. g., through modelling and statistical analyses of high-dimensional data, image processing, and programming / development of experiments. She will have the opportunity to develop and publish, e. g., analytical tools that arise from this work.
The applicant should possess a university degree (minimally M. Sc. or equivalent) in a relevant field, e. g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired.
The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant shall demonstrate strong analytical skills and knowledge of novel and emerging analysis techniques is highly desired. Future / forward thinking in the area of big data analytics / informatics and applying them to contribute to the research groups' scientific process is expected.
The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead / team members; identify improvements for existing data management and recommend requirements for new systems.
Contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data / open science and appreciate interest and expertise in this area.
Utilize programming languages such as Python, Matlab and / or C++.
Good command of English is mandatory.
The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us.
Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.
We look forward to receiving your application by November 30th,2018:
University Medical Center Göttingen
European Neuroscience Institute Göttingen
Dr. Caspar Schwiedrzik
Please send your application only via e-mail
as a PDF-file.
With our job newsletter, you will receive suitable job ads as well as interesting content matching your search profile  on a weekly basis.
Current search terms:
Biology, Neuroscience, Bioinformatics, Computer Sciences, Specialist, Expert, Science, Research and Higher Education, Lower Saxony, University, Full Time
After registering, you will be able to adjust your profile.