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Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts. You may have experience with Spotfire, Tableau or other data visualization platforms.
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In order to be considered for this role , you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Perform clinical review of data listings and essential study data within generated statistical reports (e.g., SAS outputs) and other available data surveillance tools (e.g., Spotfire, Rave) and partner with Data Management in generating relevant queries.
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Experience with sampling techniques and statistical data analysis for FTIR, DSC, TGA, DMA, Fractography, Chromatography and Microscopy (optical and electron based techniques) Ph. D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
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Projects will include data-intensive federal government projects focused in social science and public health research. What We Value Level 3 - Bachelor degree + 5 years experience, or Masters degree + 3 years experience, or PhD Level 4 - Bachelor degree + 9 years experience, or Masters degree + 7 years experience, or PhD + 4 years experience Subject matter degrees may be in data analytics, informatics, statistics, public health, social science, or a related field with a strong focus on data and analysis.
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The Oncology Drug Metabolism and Pharmacokinetics department is looking for an individual who has a passion for BA and DMPK science, applied to Cancer biology. In this role you will work closely with our established BA/ADME teams in Boston (US) and Cambridge (UK) to analyze and summarize data which will be presented in a multidisciplinary team environment.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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VHB’s growing Natural Science team is looking to add a Senior Environmental Scientist/Project Manager. Bachelor’s degree in environmental science, natural resources, wetland science, soil science, ecological sciences, or related field preferred.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Using advanced neuroimaging techniques, you will lead the development and implementation of fMRI protocols, data analysis, and interpretation to provide valuable insights into the impact of mindfulness, compassion and IFS on brain function.
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Experience with cloud-based data storage, analytics & data science platforms. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Masters of Science in Exercise Science, Exercise Physiology required. Assists with documenting initial and daily assessment data in Epic. The Cardiac Rehabilitation Exercise Specialist is an allied health professional who is responsible for the development of the exercise curriculum designed to enhance cardiovascular fitness and muscle strength.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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data science jobs Title: manager Company: Nike Inc in Needham, MA
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