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McLean Hospital is a comprehensive psychiatric hospital committed to providing easy access to superior quality, cost-effective mental health services in the Boston area, Massachusetts and beyond.
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In this Data Scientist Machine Learning Engineer role, you will be a key contributor on our path towards prescriptive analytics. This is an exciting opportunity for a Data Scientist Machine Learning engineer ready to make a discernable impact on our business by advancing data maturity at SmartSense creating data products that delight our customers.
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Strong analytical capabilities with expertise in data analysis tools (e.g., Excel, SQL, SAS, Alteryx, PowerBI), with a working knowledge of analytical tools/software such as R, Python and data warehouse platforms (Snowflake.
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As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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PhD in a relevant discipline such as computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc. Principal Duties and Responsibilities: The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Experience using a data visualization tool (Power BI, Tableau, etc.) Assist in implementing and maintaining a central Data Warehousing strategy by interfacing with various teams to move data into a Data Warehouse, manage permissions, identify relevant data relationships, mappings and transformations, and maintain data quality of key operational data.
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Experience with microscopy or diffusion MRI data is a plus. Microscopy Data Analysis: Develop algorithms for high-throughput, automated analysis of optical and X-ray microscopy datasets, including cross-modal registration and axon segmentation.
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Minimum of one (1) year of experience with strong domain knowledge in data science and informatics with a focus on experimental data interpretation and specimen management. A track record of research combining computational methods with experimental work, with strong problem-solving skills and the ability to present complex data in a clear, understandable manner.
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This position is for a Data Science entry level role in the Verizon Global Network & Technology organization. Current enrollment in a Bachelor's or Master's degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science or related majors with a completion date of June 2024.
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The Senior Software Engineer - Master Data Management has a demonstrated track record delivering technically sound, high-quality, innovative, and fully functional software solutions that adhere to coding standards and technical design.
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Now, our Business Intelligence team is looking for a Salesforce Business Data Lead who, via managing and supporting the operations of Salesforce CRM and related products, as well as partnering with multiple collaborators within BU’s Development & Alumni Relations (DAR), will improve the effectiveness and efficiency of evidence-based decision making so that DAR’s various advancement objectives in philanthropy and in engagement can be achieved.
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As a Data Analyst for the highly visible MMIS modernization effort to achieve MassHealth’s MMIS vision, the ideal candidate will have working knowledge in architecting Medicaid applications utilizing cloud and data-centric technologies.
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Strong knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data anonymization & masking, data quality, data lineage, data privacy, data security, meta data management, data analytics and reporting, and artificial intelligence (AI.
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Experience working with biomedical/biomarker clinical, and/or RWD. Clinical trial data experience is a plus. Rancho Biosciences is seeking a data curator with clinical data and/or real-world data (RWD) experience for a full-time role with the company.
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