GENERAL SUMMARY OF POSITION:
Welcome to the Program in Systems Biology at the University of Massachusetts Medical School. Our program is one of the newest initiatives on campus and aims to explore the mechanisms and principles of biological complexity. This is an exciting time for systems biology, with rapid technological advances in many fields including genomics, computational biology, imaging, mass-spectroscopy and bioinformatics. Research in the program develops and leverages technological breakthroughs in these areas to explore the biology of complex systems. Today’s scientific research in general, and systems biology in particular, is increasingly multi-disciplinary. Therefore, we aim to create an intellectually diverse environment where combining different fields is encouraged and where students, post-doctoral fellows and faculty from different backgrounds work together in a collegial and interactive atmosphere.
Under the general direction of faculty, the Bioinformatician level III is responsible for the design, development, evaluation and iterative modification of a technical infrastructure to expedite the quantitative evaluation of data resulting from studies that are laboratory based. The position will entail the establishment and maintenance of applicable in-house bioinformatics resources and interaction with individual lab members on customized research projects, as well independent projects that are solely computational. All functions will be under the guidance and direction of the P/I and a senior memebr of the team.
The Bioinformatician will also be responsible for conducting the following duties:
- Generate customized programming solutions to improve user interaction with available bioinformatics resources
- Implementation and adaptation of programs for high-throughput sequencing data analysis, statistical analysis of data and for data visualization
- Develop, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects
- Develop, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data
- Interact with a high-performance computing cluster (LSF) to schedule standard data processing pipelines and data analysis workflows