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M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related highly quantitative fields.
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Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience. Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience.
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Extensive experience in solving scientific problems using programming languages relevant to data analysis such as Python, R, Bash (shell scripting), etc. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation obesity therapeutics.
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Lead student support team, including Student Services Manager, ELL Intake Coordinator, and Program Associate, to ensure quality student experience from enrollment, to progress, to capturing qualitative and quantitative successes, and related data collection.
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Construction Expertise: Oversee the entire spectrum of construction activities, from initial estimates to contractor bidding processes for industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects, etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Serves as a data steward to ensure the quality and accuracy of data used in institutional research reports as well as interactive visualizations. Master's degree in applicable area (social science, education, business, management information systems, computer science.
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It is an exciting time to be a part of Team Lilly Our Scientific Oversight team is a hardworking and diverse group looking for an individual experienced in bioinformatics interested in tapping into their expertise to bring the needed capabilities to conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, and biology.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Meets Mortuary Science Program Standard, and. Mortuary Science Program Standard, or. Meets Mortuary Science Program Standard, and. Mortuary Science Program Standard, or. Is a graduate of an institution accredited by the American Board of Funeral Service Education or its predecessor, and.
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For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability. Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc.
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Graduate degree in data science, computational science, or artificial intelligence is a plus. Bachelor's Degree in quantitative science, engineering, or other STEM field.
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Pursuing a bachelors or associates degree in any areas of Horticulture such as the following: Landscape Architecture, Civil Engineering, Construction Science, Construction Management, Agriculture-Business, Landscape Design or Plant Science.
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Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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Combining hardware and software expertise in electron, ion, and light microscopy with deep application knowledge in the materials science, life sciences, electronics, and natural resources markets, the worldwide Electron Microscopy and Microscopy Applications employees are dedicated to customers' pursuit of discovery and resolution to global challenges.
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