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The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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Join Takeda as a People Analytics Data Scientist, a Senior Manager level role, where you will use data science tools to generate new understanding to support our employees, partner across the organization to elevate our data and analytical capabilities and be champion for data privacy and ethics.
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VHB’s growing Natural Science team is looking to add a Senior Environmental Scientist/Project Manager. Senior Environmental Scientist/Project Manager | Watertown, MA.
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The Digital Asset Product Manager will work on product development, management, strategy, and marketing of a range of Fidelity Digital Asset Managment's (FDAM) crypto and digital asset investment strategies and products.
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The Senior Project Manager reports into TIDE’s Project Management Office (PMO), a Center of Excellence, that offers robust career pathing, training, support, and mentorship.
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Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts. Summarize and communicate results to project teams (biochemistry, mass spectrometry, biology, medicinal chemistry), provide intellectual input, and contribute to decision-making in early drug discovery.
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This role will report to the Sr. Manager for the ServiceNow IT Asset Management function and sit within the ServiceNow IT Asset Management and Configuration Management (CMDB) team.
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The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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Superior management, leadership abilities, and project management experience; strong organizational skills and attention to detail; superior writing skills; excellent communication and human relations skills; effective in working collaboratively with wide audiences (including highest level of Dana-Farber constituencies); strong customer service, events, and marketing knowledge and/or background.
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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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The successful candidate will provide clinical data management oversight of outsourced clinical trials including but not limited to project management, vendor management, coordination of internal reviews, and approval of deliverables.
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Under the sponsorship of Pharm Sci leadership, the Research Head of Computational Science & Data Strategy serves to bridge and guide adjacent applications relevant to drug substance and drug product manufacturing, including retrosynthetic AI and computational energetics analyses.
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At the conclusion of this position, co-ops will have increased their knowledge of investing, the mutual fund industry, employee engagement, and a firm understanding of how information technology works at an asset manager.
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We are a full service consulting firm that provides consultants with the following expertise: Cerner, Epic, MEDITECH, Allscripts, eClinicalWorks, Athena, PeopleSoft, Lawson, SAP, Workday, Kronos, Premier, Population Health Management/Analytics, Legacy Application Support, Project Management, Business Analysis, Application Integration Analyst, Clinical Education, Top Flight University Talent, Revenue Cycle, HIM, Pharma, Life Sciences,BioInformatics, Clinical Engineering.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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