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Sr Data Scientist
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- Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform
- Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for client studies
- Serve as a subject matter expert and implementation lead for application of open-source R and python Client modeling libraries to clinical trial data and real world data (from external partners, publicly available data or consortia data).
- PhD or MS in Bioinformatics, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Significant experience in bioinformatics, applied mathematics and/or statistics to analyze multi-modal, multi-dimensional and large-scale biological datasets including whole exome sequencing, RNseq, and high-throughput proteomics data.
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