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of experience beyond PhD, or MS with 4 years’ experience Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, Modflow, GitHub) Experience with experimental design and complex
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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in such a way as to be accessible by lay and professional audiences Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of
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defined standards for data integration. Integrate data from source systems into a common data layer and integrate with multiple data formats Other duties as assigned. Qualifications Bachelor's degree in
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision
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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and
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. 0-2 years of work experience with bioinformatics in the relevant scientific domain. Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++). PREFERRED
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. 0-2 years of work experience with bioinformatics in the relevant scientific domain. Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++). PREFERRED
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or Computer Science. Proven postdoctoral experience in programming health economic models using multiple tools like Excel VBA, Python, R, SAS, Stata, or TreeAge. Proven teaching experience at university level. Track