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informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools (Python, PyTorch/TensorFlow, radiomics, 3D Slicer, DICOM tooling). We
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metadata and outcomes. Creation of reproducible Python and/or MATLAB pipelines for clinical signal processing and analysis. Translation of computational methods into clinically interpretable tools for
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in laboratory medicine. The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise
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scientific principles and expert-level knowledge in fields related to the research project. Proficiency in data analysis and quantitative modeling using R and/or Python . Experience with PK-modeling
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, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in
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) degree in a relevant field Research experience in molecular/cell biology and cell culture Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication
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scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD, or equivalent) conferred by the start date. 2. Proficiency in R/Python. 3. Experience with spatial proteomic
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Experience with transcriptomics and programming language suitable for computational analysis (e.g. R or Python) is desired Doctoral degree (PhD, MD, or equivalent) conferred by start date Required
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proficiency in economic analyses through peer reviewed publications (including works that are under review, in press, or published). Strong coding skills in R, Python, or similar languages. Excellent
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, and/or computer science Strong coding skills for the data sciences (R, python, etc) Excellent English writing and speaking skills Required Application Materials: CV Contact information for at least 2