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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools. You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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PharmD, RN or PhD in a medical field or biological science and 8+ years in pharmacovigilance in an. MS in a medical field or biological science and 7+ years in pharmacovigilance in an analytical role.
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Familiarity with emerging Analytics / Data Science capabilities and their application to healthcare / life sciences. Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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QualificationsEducation:A minimum of a Bachelor’s degree in Marketing, Business, Pharmaceutical Science or an equivalent is required. Working closely with Senior Management and field teams to continuously measure, enhance and optimize pull-through of access changes and local opportunities.
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A proud U.S. Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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We aim to ensure our product is essential to each client’s diverse workflow needs by delivering reliable and timely data in an easily consumable form. Our goal is to provide accurate data and analytics across this asset sector for our customers.
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Master’s degree or PhD in a relevant field (e.g. electrical engineering, computer science, biomedical engineering, data science), or equivalent work experience. The R&D Digital Health Sciences group within the Data Sciences Institute (DSI) supports the development, adoption, and deployment of Digital Health Tools (DHTs) within our clinical programs.
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Remain up-to-date on industry trends and develop strategic industry partnerships related to Omnichannel analytics to strengthen Otsuka analytical methods and outcomesMinimum Qualification:Bachelor's degree in data sciences, computer science and 4-6 years of relevant experiencePreferred Knowledge, Skills, and Abilities:Demonstrated experience with scripting and implementing data analytics algorithms and models.
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Qualifications: Required: An advanced degree (Master's required, Ph. D. preferred) in Epidemiology, Biostatistics, Data Science, or related field. Epidemiologist (6 month project with the possibility of an extension) We are recruiting for a Epidemiologist for Medical Device Epidemiology and Real-World Data Sciences.
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Working within the Core Lab will allow you to exercise and enhance your skills in Chemistry, Hematology and Blood Bank. Apply and join us as we advance the field of Laboratory Science together.
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Proficiency in contract management systems (e.g., Salesforce CPQ, Model N, iCyte), ERP systems (e.g., SAP, Oracle, D365), and Microsoft Excel for data analysis and reporting. Expectations include managing data validation processes with internal team and external vendors, adjudicate rebate and formulary validation processes accurately and before payment deadlines, oversee payments of managed care and government rebates, and manage Market Access payments including purchase requisitions, purchase orders, and ACH funding for copay programs.
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Regularly interfaces with team members in R&D including Biostatistics and SAS Programming staff, Data Management, clinical research and operations teams, regulatory affairs, clinical pharmacology, medical writing, medical affairs and quality management.
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Power BI: Understanding and experience with Power BI for data visualization, reporting, and business intelligence. Proficiency in managing a fully converged WAN data network using Meraki SD-WAN infrastructure.
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Extensive knowledge of a broad array of systems including Clinical Trials Management System (CTMS); Risk Based Monitoring (RBM); Electronic Trial Master File (eTMF); Electronic Data Capture (EDC); Clinical Studies Operational Data Warehouse & Analytics; Site Training and Resource Management etc.
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data science jobs Title: senior analyst Company: Github in Lawrence, NJ
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