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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company’s products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company’s therapies.
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The MSL function is knowledge-based, anchored in educating internal and external stakeholders in the science behind and safe and appropriate use of our products. Prior experience in providing MSL-level support to products or devices in endocrinology and/or rare disease, including KOL development, investigator-initiated clinical trials, publications and educational programs, highly preferred.
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Applicants with a relevant major (psychology, statistics, economics, computer science, biology, or neuroscience) will be given preference, and applicants with relevant long-term career goals (e.g. professor of statistics, entrepreneur in the machine learning industry, etc.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Job Requirements REQUIRED: Ph. D. in materials science and engineering, solid state physics, or related field by September 1, 2024; background in programming, preferably with Python, artificial intelligence, and tomographic data processing; ability to perform in situ or operando measurements using X-ray computed tomography; and ability to build and set up furnace compatible with beamline configuration and to work as part of a team and support other group members during their beamtime.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Master's degree in Construction, in Computer Science, Information Systems, GIS, Urban Planning, Environmental Science, Geophysics, or related fields. + Bachelor s Degree in Computer Science, Information Systems, GIS, Urban Planning, Environmental Science, Geophysics, or related fields.
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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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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.
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Minimum Qualifications:B.S. degree in Clinical Laboratory Science or if licensed before 2010; related science curriculum or qualifications received sufficient to obtain Montana LicensureMontana Licensure (Clinical Laboratory Scientist): Certified Clinical Lab Scientist, Medical Technologist (ASCP or equivalent)Essential Job Functions:Calibrate and operate automated laboratory instruments.
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Stay updated with the latest data science and computational biology research and methodologies, integrating these into internal R&D. Preferred: Drug discovery experience, CNS/neurodegenerative disease research, machine learning applications in biological data.
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The Director of Personalization and Digital Analytics will direct the work of the Senior Manager of Campaigns, the Analysts responsible for Data Engineering, Data Science, and Digital Analytics, as well as external technology and analytical support agencies.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
$82,650 - $115,700 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience in applied data science and/or economic research (real estate or housing experience preferred). Coding ability and intimacy with the data science toolkit in an applied context (R, Python, Pandas, NumPy, SQL.
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data science jobs Title: program Company: Quora
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