科学软件开发工程师

1、负责开发、测试和使用数据软件，即标准化神经科学数据集的采集、可复制分析Pipeline的开发以及基于BIDS标准的公开数据存储。

Developing, testing, and implementing scientific software, i.e., standardized neuroscience data acquisition, reproducible analysis pipelines, and data storage for open science building on the BIDS standard.

2、为处于不同能力水平的学生和博士后提供高质量的编程培训（例如R、MATLAB、Python）和技术支持。

Providing training and support for students and postdocs at varying levels of competence in modern, high quality, open science/source coding practices (Especially R, Python and MATLAB).

3、能够熟练的负责Linux系统的使用和维护，熟悉cluster架构，精通cluster的管理与维护。

Being proficient in using and maintaining Linux systems, and is familiar with cluster architecture and being proficient in cluster management.

4、为数据管理提供支持和培训。

Providing support and training for data management.

5、作为实验室与众多国际组织的IT团队的对接者（BigBrain/GBC/Hiball/HBP/CONP）。

Being the lab’s interface with many international organizations’ IT teams (BigBrain/GBC/Hiball/HBP/CONP).

6、负责提供实验室的IT技术支持，如排除软件、硬件故障和防火墙的维护与管理，以确保所有系统的可用性。

Being able to coordinate general IT support for the lab, such as troubleshooting and maintenance/management of firewall to ensure all systems’ usability.

7、期待学习：BIDS标准、开放科学工具、神经影像技术和数据分析（尤其是fMRI和MEG/EEG）和XNAT。

Expected to learn: BIDS standards, Open science tools, neuroimaging techniques, and data analysis (especially fMRI and MEG/EEG) and/or XNAT.