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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data science algorithms, such as advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling, and model evaluation, is a plus.
$175,300 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
$91,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data manipulation and analytics tools such as Excel, SQL, Python, R, SAS, MicroStrategy, Tableau, Spotfire with familiarity of emerging Analytics / Data Science capabilities (AI, ML, LLM.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Exposure to bioprocess engineering/cell therapy data. Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science, preferred) MS in Computer Science, Chemical Engineering, Biostatistics or similar with 6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
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Experience reviewing regulatory documents, DMPK and BA reports, and non-GLP/GLP data and notebooks. At minimum, a Bachelor’s degree in Chemistry, Biology or related science with a strong background in DMPK and BA including knowledge of the FDA GLPs.
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Performs data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases. Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
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MS in Computer Science, Chemical Engineering, Biostatistics or similar with 3-6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
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Experience with data mining and analysis techniques across disparate data sources. Design and deliver digital solutions that streamline access to analytics & data. Experience with data cataloguing and enablement through APIs.
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Experience with DNA sequencing technologies (Sanger) and sequencing data analysis. Bachelor's degree in biological science with 4+ years of experience in molecular biology, or an MS degree with 2+ years, or a PhD in a molecular biology-related discipline.
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Works to maintain and uphold data integrity and clean data principles. Independently develops code and analytical models to automate data transformation and analysis. Work with domain SMEs to derive insight and value to improve manufacturing related data transformations and improvement initiatives.
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The Executive Director of Medical Cell Therapy Medical Communications will ensure the disclosure of the science of BMS products and research data to inform Healthcare Providers and Patients worldwide.
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Management Information Systems,Accounting,Data Processing/Analytics/Science,Computer and Information Science,Economics,Business Administration/Management,Engineering. Understanding of common IT concepts and risk domains including user access, identity management, change management, cybersecurity, disaster recovery, data management, privacy, cloud/XaaS, ERP, data management, and system architecture; and.
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data science jobs in South Orange, NJ
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