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Masters degree in Computer Science Experience in functional decomposition of legacy products and migrating to modern microservices architecture. About You - Experience, Education, Skills, and Accomplishments Bachelor's in Computer Science or an equivalent experience in software development, with a minimum of 7 years experience in developing and delivering business transformation projects or products using data engineering and AI/ML technologies.
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Bachelor's in Computer Science or an equivalent experience in software development, with a minimum of 7 years experience in developing and delivering business transformation projects or products using data engineering and AI/ML technologies.
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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. master's degree in Computer Science. Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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SPECIALIZED EXPERIENCE demonstrates the knowledge, skills, and abilities to successfully perform the duties of a Biological Science Technician. Successful completion of two years of study above high school that included at least 12 semester hours in any combination of courses in scientific or technical courses such as biology, chemistry, statistics, entomology, animal husbandry, botany, physics, agriculture, or others that are directly related to the position to be filled.
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Related degrees may include Agricultural Science, Plant Science, Soil Science, Geology, Horticulture, Environmental Science, Biology, Ecology, Botany, Agricultural Engineering, or Hydrology.
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Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.
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MS/PhD in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 8-10+ (BS) 6-8+ (MS) or 3-5+ (PhD) years of relevant data science/analytics experience in the pharmaceutical industry.
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Research Associate, Protein Science, protein expression, purification, microbial cell culturing, molecular cloning, biochemical synthesis, FPLC, SDS-PAGE, ELISA, colorimetric assays, Microsoft Office.
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To qualify at the GS-15 grade level, you must have at least one year of specialized experience at or equivalent to the GS-14 grade level, which must include the following experience: overseeing research projects; translating research findings into practical applications; and serving as a senior science advisor to management relating to occupational safety and health research.
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The Stanford University Protein and Nucleic Acid (PAN) Facility in the Beckman Center is seeking a Life Science Research Professional (LSRP2) to join our highly multidisciplinary group. Bachelor's degree in Biology or related scientific field and four years of relevant work experience; or Master’s degree in Biology or a related scientific field and two years relevant experience; or PhD in Biology or related science field.
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Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property.
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To supervise and facilitate instruction in two sections of an in-person credit recovery lab using Edmentum resources and curriculum over the 10-day session(s) for students enrolled in recovery Science courses (Biology, Chemistry, Physics, ICP, Earth Space Science.
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Work closely with other members of Cell Science team and downstream Process Development team to develop and execute multiple projects under tight timelines. Sr. Associate Scientist/Scientist - Cell Science.
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You will work in close collaboration with the USA Data Science and Machine Learning team to setup the goals and roadmap to assemble a world-class team in close alignment with the company’s OKRs.
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Title: science Company: Clarivate Analytics
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