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conducting research in the field of mental health, particularly in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong
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the core. Responsibilities include general lab management, cell and tissue handling, NGS library preparation, and data analysis using industry standard command-line tools and R based pipelines for bulk and
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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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Biostatistics, Statistics, Epidemiology, or a relevant Public Health field. Strong background in statistical modeling, inference, and data analysis. Proficiency in statistical analysis software such as Stata, R
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history in peer-reviewed journals to demonstrate research success. Preferred qualifications A strong background in immunology Experience with R and/or the analysis of sequencing data sets Interested