TGen’s Division of Pathogen Genomics is looking for a Bioinformaticist to join a team of researchers leading cutting-edge scientific exploration. The successful applicant will work closely with biologists and other bioinformaticians to develop and apply microbial genetic bioinformatics tools, identify relevant data sources, improve existing software, develop new data analysis methods and manage complex databases. This position will involve working on multiple projects analyzing large biomedical and molecular genetic data sets. The emphasis in our laboratory is on Next Generation DNA and RNA sequence data, associated with microbial pathogens, with the goal of increasing knowledge about important and emerging pathogens, ultimately affecting positive change in public health understanding, improved diagnostic capabilities and clinical outcomes.
Essential Job Functions:
-Implementation, application, maintenance and customization of existing informatics resources, such as scientific software and databases, in multiple programming languages; developing Graphical User Interfaces for analysis tools, visualization and compilation of results, facilitating generally defined routine data processing, migration, organization, management tasks; building project specific workflows involving implementing automated analysis steps.
-Development of novel professional quality bioinformatics analysis software for biomedical and molecular genetic data processing, using appropriate programming languages, databases, computational methods and algorithms, capable of processing large heterogeneous biomedical and molecular genetic data sets from multiple sources; developed software will be reusable, modular, tested, version-controlled, documented and shared repository oriented.
-Design and evaluation of innovative computational algorithms, including the use of appropriate statistical methods, for bioinformatics data analysis, interpretation and knowledge mining of data.
-Staying abreast of current pertinent scientific literature, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to bioinformatics; assisting with research planning, interpretation of scientific findings, manuscripts, grants and research proposals; presenting at internal and external scientific meetings and conferences.
-Interacting with other bioinformatics personnel and effectively communicating with other researchers to understand their data analysis requirements; work with IT and High-Performance Computing departments towards understanding the computing infrastructure and using it effectively to provide support to various researchers.