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As a Senior Data Science and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Deep knowledge of panel syndicated retail measurement data (Nielsen/IRI/IQVIA, Kantar, etc.) Partners closely with the Director, Strategic Insights & Analytics to drive a culture of data driven decision making for Abbott Nutrition International (ANI.
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Responsibilities include master data management, alignment across systems, data load tie-outs and reconciliations, centralized reporting development and distribution, training, rolling forward templates for forecast and budget scenarios, and system security management.
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Experience working with master data integration, EDI IDOC's, API integration with cloud solutions, data loading in WMS. Excellent problem-solving skills, strong written, verbal, and non-verbal communication skills with internal and external customers.
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SAP, IBP, Advanced Microsoft programs especially Excel Data gathering data analysis, including business process metrics and measures linking to business KPIs. Proficiency in statistics and forecasting methods; understanding of financial and operational impacts.
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This is a full-spectrum senior IT leadership role that is accountable for developing effective relationships with Sr. Business and IT leadership and championing the development of the business unit’s data, analytics, IOT, artificial intelligence, and innovation IT strategy, providing provision and oversight of services required to support a large division’s LRP and operations.
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Profit Factory, Inc., Microsoft Dynamics 365 Retail Developer, Lake Zurich, IL: Act as a subject-matter expert for application systems, feature optimization, availability, scalability, user experience, and data integrity.
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This role as a Digital Health Strategist serves a key leadership function to understand and interpret evidence gaps and address them with DHTs. You will be responsible for defining digital strategy, driving the development and validation of digital measurements, and leading evidence/insight generation in collaboration with study teams and Digital Science data scientists.
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Performing biological incubations of drug molecules, purification of biological samples, optimization of LCMS methods, and analysis of LCMS data. Documentation of experimental activities and results using electronic data acquisition and management systems.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Complete audits to assess accuracy and quality of scientific data submitted to the regulatory agencies in support of in vivo medical devices and in vitro diagnostic devices' application. Experience of working under own initiative and in planning and prioritizing workloads University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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Skills: · Hands-on single cell sequencing experience · Hands-on spatial transcriptomics experience · NGS data QC experience · Hands-on NGS experience Experience: · Typically, 7 years of experience, master’s degree, or equivalent education and typically 5 years of experience in molecular biology, genetics, genomics or a related field.
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Proficiency in data visualization tools (Tableau, Power BI, etc.) Identify, prioritize and assist in the implementation and optimization projects to enhance data visualization and reporting capabilities.
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Strong Excel required ( including but not limited to using pivot tables, sorting and filtering large volumes of data as well as analyzing data in excel pulled from various sources ) As part of responsibilities the analyst will assist with the creation of data analytics tool/dashboard which will allow our business leaders insights regarding our relocation programs.
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data job Title: senior data engineer Company: Apex Systems in Mundelein, IL
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