Data Scientist-Bioinformatics - 81970
Organization: EB-Environ Genomics & Systems Bio
Berkeley Lab is Bringing Science Solutions to the World, and YOU can be a part of it!
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with "excellence." That's why we hire the best - whether in research, finance or other operations. This is a great opportunity to bring your top-notch skills to bear in support of world-class scientific research that addresses national and global challenges!
Within the Berkeley Lab’s Environmental Genomics & Systems Biology Division, the Monarch Initiative (http://monarchinitiative.org/) is seeking a passionate and motivated individual to join its cross-functional and internationally collaborative project. We develop and apply cutting-edge approaches for analyzing cross-species genotype-phenotype data to enable biomedical and disease discovery in an open-source framework. We are looking for someone to help us build the world’s largest phenotypic knowledge base, and to develop innovative ways to access and use this knowledge.
Software Developer 3
• Integrate new data sets of interest into our graph-based knowledge store
• Probing the data with interesting biological questions to test the correctness of the data model
• Implement new visualizations over the data
• Wrangling large datasets, including collaborating on innovative methods for storing and processing data
• Develop new solutions to intelligently automate the accumulation of phenotypic knowledge and datasets
• Implement substantial, known or novel, computational methods to improve the analysis capabilities and output of the group
• Troubleshoot systems and data problems and select appropriate solutions
• Participate in formal and informal design and code reviews
• Present progress at internal group meetings
In addition to the above responsibilities, the Software Developer 4 will:
• Identify, model, and integrate new data sets of interest
• Discover novel biological insights
• Designing and implement new visualizations over the data
• Troubleshoot diverse and challenging systems and data problems and exercise independent judgment to select appropriate solutions
• Present progress at research conferences