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This position offers the opportunity to employ the cutting-edge of computational biology, machine learning and statistical research to solve important problems in health and disease related to the human immune system, autoimmune diseases and cancer.
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Essential for the RoleRelevant PhD and 10+ years of experience or Masters Degree and 12+ years of experience combining technical expertise in bioinformatics, computational biology or data science and in applying informatics to drug discovery, with an outstanding track record of impactful delivery in pharma R&D.Experience managing large, multi-layered, diverse and global teams with a focus on performance, coaching and professional development.
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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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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Proficiency in statistical software packages (e.g., SPSS, SAS, R) and data management tools. GSK is a global biopharma leader with new ambitions and new purpose: to unite science, technology and talent to get ahead of disease together.
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Profound experience in data science, machine learning, and data engineering programming using python and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, or similar.
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About Us :At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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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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The Senior Data Engineer will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects. 8+ years of experience in a Data Engineer role at a fast-paced organization.
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Strong grasp of electrochemistry, chemical engineering, and materials science fundamentals. Performing lab experiments including synthesis and materials characterization,operating electrochemical systems, analyzing data, and presenting results.
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Grasp of the fundamentals of data programs including, data modeling, data science, data integration. Demonstrated the delivery of data centric projects, like Data warehouse, Data Lake, Data Governance, Master Data Management, and Data Integration.
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Our subsidiary iMotions provides the world's leading biosensor software platform that synchronizes data streams in real time from multiple sensors. Our Research Instruments offer unparalleled insights into automotive, aviation, assistive technology, behavioral science and many more fields.
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Experience with modern data technologies/stack such as cloud services (AWS & Azure), Databases (Redshift, Snowflake), RPA and other automation enablers. PhD with 4-6+ years’ experience or MS with 6-10 years’ experience in the pharmaceutical / biotechnology industry or healthcare sector, with joint experience / degree in Computer Science, Medical Informatics or Bioinformatics.
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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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For data Science/Machine learning Positions. For data Science/Machine learning. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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data science jobs Title: machine learning engineer Company: Edward Jones in Cambridge, MA
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