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The Principal Data Scientist will design and implement innovative data analysis strategies for proteomics research, focusing on data from large patient cohorts and profiling experiments. This role involves maintaining in-house algorithms, deploying external tools, and collaborating with scientists for custom analyses and insights.

The Proteomics Scientist will lead proteomics method development, optimize LC-MS methods, maintain mass spectrometry instruments, conduct data analysis, and collaborate on various research projects, while publishing findings in scientific forums.

The Data Scientist/Senior Data Scientist will develop data analysis strategies, write algorithms, and analyze proteomics data from patient cohorts and profiling experiments. They will maintain software tools, work collaboratively with various teams, and support the needs of scientific personnel in data analysis and interpretation.