About SMB › Forums › Open Positions › Data analyst/developer for project in Computational Physiology, 50% part-time
Tagged: bioinformatics, Computational Physiology
- This topic has 0 replies, 1 voice, and was last updated 3 years, 5 months ago by Edgar.
January 5, 2020 at 7:50 pm #4253EdgarParticipant
The University Children’s Hospital at University of Basel is offering a data analyst/developer position within the Computational Physiology and Biostatistics Group, led by Dr. Edgar Delgado-Eckert. Earliest start date is March 2nd 2020.
One of the main current research activities in our research group is the analysis of time series of physiological signals, such as cardiac activity, body temperature, movement patterns, and several lung function parameters. The mathematical and statistical analysis of these time series is aimed at developing new quantitative approaches of diagnostic, and/or prognostic value in a clinical setting, as well as at conducting epidemiological studies within different cohorts.
The mathematical and computational methodologies commonly applied in our research group comprise techniques borrowed from nonlinear dynamics, such as the largest Lyapunov exponent, and from statistics and information theory, including sample entropy, and long range correlations revealed by detrended fluctuation analysis. Moreover, classification and pattern recognition techniques commonly utilized in Machine Learning belong to our daily work tools.
Within a 2 year project the candidate is expected to develop and maintain a computational platform capable of analyzing time series retrieved from a patient monitoring device. Furthermore, the data obtained need to be properly stored, formatted, and managed for subsequent statistical analyses.
- Master’s degree in Computer Science, Informatics, or Bioinformatics.
- Good programming skills in R and C/C++. Some experience with the scientific data storage/sharing platform “LabKey” is a plus.
- Knowledge of data bases and data base maintenance/management.
How to apply
Applications should include a curriculum vitae and three letters of reference. Please send application documents by email (with “computational physiology” in the subject line) to email@example.com
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