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. Master's degree is preferred. 3+ years working in healthcare (preferred), Life Science (preferred), and/or Academic environments. 5+ years with hands-on experience in developing and implementing language ML
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Science, Statistics, or related discipline. Excellent research, writing, and programming skills. Knowledge of Python and an additional language such as R or Stata is essential. High level of emotional intelligence
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abilities: Preferred Qualifications: Master’s degree in data or business analytics related field preferred from an AACSB accredited university; programming language (Python or R) cloud computing certificates
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-to-Have Relevant pharmaceutical experience Understanding of programming, and proficiency in at least one language Other Job Details Relocation supports available Work Location Assignment:Flexible colleagues
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Fluency in written and spoken English required, additional language skills as a plus but not mandatory. Candidate demonstrates leadership experiences (direct and/or matrix) Understanding of clinical
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in a matrix team setting Fluency in written and spoken English required, additional language skills as a plus but not mandatory. Candidate demonstrates leadership experiences (direct and/or matrix
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: Significant experience with front-end web development (ideally with TypeScript, but JavaScript knowledge is acceptable) Experience with the Python language Experience with database integration (specifically
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Triage Advice Nurse - Student Health Engemann Admin - Part Time 8 Hour Days (Non-Exempt) (Non-Union)
queues Assess language line for non-English speaking patients as needed Receives incoming telephone calls and/or make outbound calls to patients who have left messages with the contact center May provide
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Required Degree: MA in Spanish Linguistics, Literature, Pedagogy or related field The required degree must be completed by the start date. Experience: Professional experience in teaching Spanish and near
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Details Posted: 12-Jun-24 Location: Denver, Colorado Salary: Open Categories: Academic/Faculty Internal Number: JR102523 Department Speech, Lang, Hear, Sci The Department of Speech, Language