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: Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis Writing programs in SAS, R, or Python to analyze data collected for various
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related experience. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: Experience working with Python programming languages. Previous project experience in data
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company. Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow). Senior Professional Bachelor’s degree in computer science
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and monitoring data quality to identify and resolve issues in data systems. Write statistical programs in R, SAS, STATA and/or Python and conduct complex statistical analyses of primary and secondary
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). Programming experience in R and/or Python and version control (Git). Knowledge, Skills, and Abilities: Knowledge of basic statistical principles relevant to biomedical research. Ability to analyze and solve
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. § Background in high-dimensional data analysis § Minimum of 2 year(s) experience in statistical software R, Python or equivalent § Excellent communication skills (written and oral) using the English language
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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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/SSIS, or other data warehouse tools. Experience in Python, R, or other statistical programming languages. Experience with healthcare productivity metrics (wRVUs, cFTEs) and coding standards (CPT, ICD
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), and treatment delivery. Core AI/ML methods (deep learning, radiomics, NLP, multimodal data). Clinical data formats and regulatory/ethical standards. Skills Programming (Python, R, others) and AI