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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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approaches Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary Familiarity with statistical analytical
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packages (e.g., SPSS, SAS, R, MPlus) Preferred Qualifications: ● 1+ year of experience specifically in the area of child maltreatment research ● 1+ year of experience preparing manuscripts
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, including first authorship publications from previous research. Preferred Qualifications: Experience with small molecule/drug applications. Bioinformatics and/or programming expertise in languages such as R
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis