Data Scientist (W/M)
- Entreprise
- EPFL
- Lieu
- Lausanne
- Date de publication
- 12.01.2023
- Référence
- 4176362
Description
Description du poste :
Your mission :
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world's first biologically detailed digital reconstructions and simulations of the mouse brain.
The Membrane Systems group in the Blue Brain Project is looking for a data scientist to work with large volumes of experimental data mainly from electrophysiology experiments. The
main tasks include maintenance of a custom data sharing web application (Channelpedia), to convert all experimental data from their proprietary data format to standardized data formats and to make them accessible through Channelpedia (www.channelpedia.epfl.ch). The candidate should be proficient with data analysis programming languages (C/C++, Python, Matlab), familiar with Hierarchical Data Format (HDF), web programming (Ruby on Rails, PHP, JavaScript, HTML, CSS) and databases (RDBMS, NoSQL). The candidate should be an enthusiastic, agile team player who is excited to learn new concepts and deliver results on time. The position also requires effective communication with scientists and technical project managers.
Job location: LNMC, AI 2119, Station 19, CH-1015 Lausanne, Switzerland
Main duties and responsibilities include :
* Redesign and upgrade existing data storage and analysis framework
implemented in Matlab
* Convert all experimental data to standardized data formats
* Automated data upload to Channelpedia website and online visualization
* Support neuroinformatic group to store and annotate experimental data
Description du profil :
Your profile :
* BS, MS, or PhD in computer science, computational biology, applied mathematics
* Experience with Linux, shell scripting and modern code version control
* Experience delivering and maintaining robust, data-intensive software
* Programming languages: C/C++, Python, Matlab, JavaScript, Ruby on Rails, HTML/CSS
* Experience with database management systems (MySQL, NoSQL)
Your mission :
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world's first biologically detailed digital reconstructions and simulations of the mouse brain.
The Membrane Systems group in the Blue Brain Project is looking for a data scientist to work with large volumes of experimental data mainly from electrophysiology experiments. The
main tasks include maintenance of a custom data sharing web application (Channelpedia), to convert all experimental data from their proprietary data format to standardized data formats and to make them accessible through Channelpedia (www.channelpedia.epfl.ch). The candidate should be proficient with data analysis programming languages (C/C++, Python, Matlab), familiar with Hierarchical Data Format (HDF), web programming (Ruby on Rails, PHP, JavaScript, HTML, CSS) and databases (RDBMS, NoSQL). The candidate should be an enthusiastic, agile team player who is excited to learn new concepts and deliver results on time. The position also requires effective communication with scientists and technical project managers.
Job location: LNMC, AI 2119, Station 19, CH-1015 Lausanne, Switzerland
Main duties and responsibilities include :
* Redesign and upgrade existing data storage and analysis framework
implemented in Matlab
* Convert all experimental data to standardized data formats
* Automated data upload to Channelpedia website and online visualization
* Support neuroinformatic group to store and annotate experimental data
Description du profil :
Your profile :
* BS, MS, or PhD in computer science, computational biology, applied mathematics
* Experience with Linux, shell scripting and modern code version control
* Experience delivering and maintaining robust, data-intensive software
* Programming languages: C/C++, Python, Matlab, JavaScript, Ruby on Rails, HTML/CSS
* Experience with database management systems (MySQL, NoSQL)
