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Collaborate with Data Engineers to enrich and optimize the data pipeline. - Accelerated expansion phase with key additions to the Software, Data, and Technology Team. - Previous experience in Senior, Lead, Principal, Manager, and Director level roles in relevant fields.
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The program director will work in close collaboration with directors of other UT-ORNL joint interdisciplinary research programs including Data Science and Engineering (DSE) and Genome Science and Technology (GST) to bring about innovative ideas for convergent curricula that align with the missions and visions of UT and ORNL. The Program Director will become part of the educational leadership team led by the Educational Director of UT-ORII.
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We are looking for a Data Science Director who is passionate about analytics for large scale ML systems to help drive data-informed decisions for the Monetization Infrastructure team and help shape the long term strategic direction of the development of this system.
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The Data Science director will partner with Engineering and Product leads across Meta Ads, and AI infrastructure to guide the strategic direction for one of the largest-scale ML infrastructure systems in the world, developing new ML infrastructure capabilities, improving the efficiency of the systems and adopting the ads data systems to meet privacy requirements.
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Director, Data Science - Monetization Infrastructure. Bachelors/Masters in a quantitative discipline (e.g., AI, statistics, operations research, econometrics, computer science, engineering) with 10+ years (or PhD with 8+ years.
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To be considered for this position at a minimum you need a Clinical/Science degree (MD, PharmD, PhD, DVM with 5 + years related work experience (clinical, managed care, or industry experience) in Ophthalmology is preferred.
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The Senior Director, Clinical Science will drive the design, planning, and implementation of study protocols for assigned investigational products and will play a key role in supporting related regulatory activities.
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For assigned programs, be accountable for the study design of clinical trials in Early Development, leading on the preparation of clinical study synopses and being a major contributor to the writing of protocols/major amendments, the design of data collection systems, interpretation of clinical data, and the preparation of final clinical study reports.
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Renewables Machine Learning & Data Science Leader (Sr. Manager - Director) - Create as well as automates machine learning single-task and multi-task time series forecasting models utilizing deep neural networks (DNN), deep learning (DL), and reinforcement learning (RL) techniques for energy storage, asset management, and energy trading initiatives.
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