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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. Open Rank Research Professor - Health Data Science.
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Collaborate with Data Engineering, Data Science, and Software Engineering teams to design systems and products that deliver sports data effectively, enabling the development of engaging features for our customers.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, etc.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as SQL, Excel, Looker, and Google data studio to deliver real-time performance data to the business leadership team, formulate hypotheses, develop models and socialize recommendations that address strategic and operational challenges.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms.
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Educational Outreach: Collaborating with the Head of Tokenization Platform Strategy, and the FDAM investment research, data science and digital asset strategist teams in conducting educational sessions and workshops to enhance awareness and understanding of tokenization concepts and asset tokenization models and token economics.
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We are seeking a talented and motivated Senior Computational Biologist to guide our data science initiatives at GALY. As a pioneer in our data science efforts, you will play a pivotal role in advancing our understanding of biomarkers to track product quality and streamline our processes.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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data science jobs in Boston, Wailuku, Hawaii
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