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As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development’s machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development.
$355,410 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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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 successful candidate will: have an active program of research; is expected to develop an externally funded, high-impact research program focusing on roots and their interactions with soil using modern approaches of computational biology and data science, responsible for teaching residential undergraduate and graduate courses; advise master's and doctoral students; and provide service to the Department, College, Institute, University, and professional.
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Bachelor's degree required, preferably in Data Science, Mathematics, Engineering, Physics, Statistics, or Computer Science. Experience developing ETL for Big Data Sets or Massive Data Sets (Petabytes.
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Our biodiversity and ecology team supports clients with a wide range of environmental issues including biodiversity and ecosystem services, nature-based solutions, risk and impact assessment, and ecological data science.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Bachelor’s Degree from ABET (Accreditation Board for Engineering and Technology) in Engineering, Physics, Materials Science, or (STEM) Science, Technology, Engineering, or Mathematics. Collaborate with process engineers and modeling engineers to model improved materials and provide data for model validation.
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The Certifying Scientist will be responsible for reviewing and verifying all data to ensure its accuracy before the final results get reported. Bachelor's degree in a Chemical or Biological science, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements.
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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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However, strong research experience in developing/applying deep learning/machine learning/data mining/data science methods on other domains/datasets will also be considered. We offer a Ph. D. degree in Computer Science and Engineering, M. S. degrees in Artificial Intelligence, Computer Engineering, Computer Science, Cybersecurity and Data Engineering, ABET-accredited B. S. degrees in Computer Science and Computer Engineering, an ABET-accredited B. A. degree in Information Technology, and a new B. S. degree in Cybersecurity.
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Use Python and machine learning packages to craft and implement effective data science solutions. Knowledge of cloud technologies including AWS and Azure for deploying data science solutions.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
data science jobs Company: Bluepipes in KS, Germany
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