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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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problem-solving skills. Certifications/Licenses Required Knowledge, Skills, and Abilities Develop and support the preparation of scientific protocols and statistical analysis plans for funded research
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imaging in 2D or 3D cell culture models; electrophysiology and 3D neuronal culture. Experience in data analysis and/or statistical methods is helpful. Equipment Utilized Biosafety cabinets, liquid nitrogen
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(Computer science, Statistics, Bioinformatics, Physics or similar fields) or in Life sciences with a strong computational and programming background. All But Degree (ABD) status will also be considered
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., MATLAB, Python, R) preferred. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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data, preferred. Epilepsy, respiratory, or biomedical engineering animal research experience, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background