Research Assistant, Computational Biology
Yale-NUS College is a highly selective liberal arts and science college in Singapore. Co-founded by Yale University and the National University of Singapore, the College is committed to excellence in research and teaching in a full residential programme that integrates living and learning. Its curriculum educates students in Asian and Western intellectual traditions as well as current scientific thought. A student body of 1000 undergraduates from over 70 countries engages with 100 outstanding faculty from around the world through small classes and hands-on research. Students and faculty also have access to the wider resources of two world-leading research universities.
The goal of this project is to investigate and develop computer algorithms that can automatically detect/localise vehicles and humans as well as to recognise their colours from videos, which are degraded by nighttime, low-light, and rain conditions. The duty of the research engineering is to help the team to accomplish the goal by completing the milestones through his/her research. Concretely, the milestones include setting-up cameras, data collection, algorithm development, implementation/coding, experimenting/analysing the developed algorithms, and writing reports. While publishing papers in top international conferences/journals is not compulsory, it is strongly encouraged. The research engineer also has responsibilities to work together with the principal investigator as well as with the lab members.
The laboratory of Asst. Prof. Nathan Harmston at Yale-NUS is currently recruiting a Computational Biology Research Assistant to work in the area of omics data integration and analysis. We are looking for a motivated Computational Biologist with an interest in gene regulation, cancer and omics integration/analysis.
- Utilize and/or develop computational tools, including but not limited to, those written in R/Python/Java
- Develop and use next generation sequencing pipelines for projects within the group
- Analyse large-scale datasets in collaboration with members of the group and collaborators
- Maintain up-to-date knowledge of bioinformatics tools and related research efforts
- Provide guidance and support to researchers, undergraduate and graduate students
- Perform other related duties incidental to the work described herein
- Undergraduate degree in a related scientific area (e.g. Bioinformatics, Computational Biology, Life Sciences, Computer Sciences, Statistics)
- Experience is analysing datasets relevant to cancer/genomics – specifically RNA-seq
- Demonstrable knowledge of important developmental signalling pathways in cancer (i.e. Wnt signalling)
- Experience with R/Python/Java or similar languages and with Unix based platforms
- Project management skills
- Ability to work harmoniously with a diverse workforce
Location: Kent Ridge
Organization: Yale-NUS College
Department : Division of Science