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verbal communication skills. Working knowledge of genomics and Next Generation Sequencing data analysis. Understanding of statistics and machine learning approaches. Experience with HPC or cloud computing
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process advancement, software application development / implementation (web, mobile, desktop, vendor) and Infrastructure expansion / support (network, servers, cloud, security, storage, middleware
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collaboratively in a multidisciplinary team. Familiarity with high-performance computing environments, cloud-based computing platforms, and version control systems such as Git is desirable. Baylor College
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for integrating multi-modal healthcare data (genomics, transcriptomics, proteomics, imaging, EHR). Optimize model performance for deployment on various platforms including cloud infrastructure and edge devices
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research investigators and research staff. Provides technical expertise as an essential member of collaborative research teams. Extracts, manages, and analyzes data in a cloud-computing environment (e.g., VA
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meeting deadlines for clients. Proficient at Adobe Creative Cloud Software (specifically Adobe Premiere Pro). Experience creating both short and long-form video content for social media (Facebook, LinkedIn
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. Candidate will be required to download wearable actigraphy data from manufacturer-provided web interfaces, and store/visualize data on our dedicated cloud server. May be asked to conduct routine procedures in
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skills. Experience with cloud computing and big data analytics platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 23791 Apply now
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techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python, C++, MATLAB, and other relevant languages. Experience with cloud computing and big