中研院BITS生物资讯诚征研究伙伴 (学士/硕士/博士后)
【实验室】
中央研究院BITS生物资讯研究团队
http://bits.iis.sinica.edu.tw
主持人蔡怀宽老师网站
http://www.iis.sinica.edu.tw/pages/hktsai/index_en.html
【工作职缺】
学士级研究助理
硕士级研究助理
博士后研究员
【工作内容】
基因体上千分之一不到的差异如何使人与人如此不同? 完全相同的基因体又如何产生出多
种变化的细胞型态? 从DNA到RNA，再从RNA到蛋白质，我们找寻基因体上的蛛丝马迹，尝
试了解生命体如何透过基因调控系统，成就多采多姿的生命万象。如果你曾思考过类似的
议题，或刚好你就是这方面的专家，竭诚欢迎加入我们!!
本研究室由中研院资讯所蔡怀宽老师带领，以资讯技术与统计方法分析生物实验大数据资
料(big data)，从基因体学的角度探讨分子生物学在基因调控和遗传演化上的重要议题，
志在提升生命科学发展之进程。加入我们的伙伴将能学习生物资讯研究方法，包括程式设
计与资料分析，并能建立文献探讨与论文撰写等扎实的研究和学习能力。
【征才条件】
我们正在募集各种领域的能人志士，只要你和我们一样，对生命体的基因调控充满好奇，
都欢迎与我们联系。我们期待具生命科学背景的伙伴不要害怕写程式，而会写程式的伙伴
不要讨厌读生科文献。我们尤其盼望对学术研究工作充满热忱而有意攻读PhD的伙伴加入
我们。本研究室有多位成员就读(及毕业)于中研院的生物资讯相关博士班学程(TIGP与
GSB)，其丰沛的研究资源与经费支援是在台湾攻读生物资讯博士学位的首选，本研究室将
提供丰富的申请指导与求学经验分享。
应征条件
1. 对生物资讯充满旺盛的好奇心
2. 即将取得(或已取得)大学学士或以上学位
加分条件
1. 壮游经验 (环岛、背包客、百岳、马拉松、自行车三横一竖)
2. 以下任一专业技能: 机器学习/资料探勘、大数据技术、R统计程式语言
3. 英文能力认证 (托福、多益、全民英检)
4. 喜好运动 (本研究室每年参加垒球比赛，因此棒垒球专长者尤佳)
5. 具程式撰写能力 (任一程式语言皆可)
6. 具备基因体学知识
【工作地点】
中央研究院 资讯科学所
台北市南港区研究院路2段128号
大众交通: 台大中研院交通车、捷运南港展览馆站转乘10分钟公共汽车
【薪资范围】
依中央研究院/科技部规定
学士级研究助理：$31,520起
硕士级研究助理：$36,050起
博士后研究员：$56,650起
【联络人/连络方式】
意者请准备履历，Email给蔡怀宽老师 [email protected]
( 观望迟疑者，欢迎与研究室成员联系 [email protected] )
Recruiting Assistant or Post-Docs for BITS Bioinformatics Lab at Academia
Sinica
[Lab]
BioIT Station (BITS) Lab: http://bits.iis.sinica.edu.tw
PI: Dr. Huai-Kuang Tsai, Associate Research Fellow
http://www.iis.sinica.edu.tw/pages/hktsai/index_en.html
[Position]
Post-Doctoral Fellow
Research Assistant
[Job Description]
What results in the differences between individuals from less than 0.1%
variation in the human genomes? How does the same genetic content develop
into various distinct cell types? Based on the central dogma of biology,
where DNA is transcribed into RNA and then translated into proteins, we
investigate how regulatory systems shape the myriads of life. If you have
considered these issues or happens to be an expert, we would like to welcome
you to join our lab.
Our lab is led by Dr. Huai-Kuang Tsai, and we aim to deepen our knowledge in
biological sciences through bioinformatics and genome sciences. We employ
computational techniques and statistical methods to study gene regulatory
mechanisms and molecular evolution by analyzing genomics big data.
New members of our lab would learn and be proficient in programming and data
analytic skills in bioinformatics. You would also acquire solid research
experience such as continually being intellectually stimulated, and
discussing and writing primary literature.
[Qualifications]
We are recruiting people from all backgrounds as long as you are curious
about life science and gene regulation. We expect candidates to be
comfortable with programming and keeping an interest in biology. Candidates
who are considering a Ph.D. study are a plus. Our lab members include (and
have trained) many Ph.D. students under the resourceful Academia Sinica’s
Ph.D. curriculums (TIGP and GSB), which is a top choice for bioinformatics
Ph.D. Degree. Our lab would provide ample guidance in applying and learning
as a Ph.D. student.
Candidates should
1. Be curious about bioinformatics
2. Have a Bachelor’s degree or above
Bonus qualities include
1. Experiences in various kinds of grand tours (e.g. backpacking,
cross-country cycling, mountain climbing, marathon etc.)
2. Skills in machine learning/data mining, big data analysis, statistical
tool R
3. Like sports (our lab participates in Academia Sinica softball tournaments)
4. Programming ability (any language)
5. Basic biology knowledge
[Location]
Institute of Information Science, Academia Sinica
128 Academia Road, Section 2, Nankang, Taipei 115, Taiwan
Public transportation: NTU-Academia Sinica shuttles, 10 minute bus ride from
Nangang Exhibition Center
[Salary Range]
As specified by Ministry of Science and Technology
Research Assistant (Bachelors): $31,520 or above
Research Assistant (Masters): $36,050 or above
Post-doc: $56,650 or above
[To Apply]
Interested applicants should send curriculum vitae to Dr. Huai-Kuang Tsai:
[email protected]
(02) 2788-3799 ext. 1718
Any questions could also be addressed to lab member Zing Tsung-Yeh Tsai
[email protected]