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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Adjunct Instructor - Data Science. Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred.
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Qualifications Bachelor’s degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis Masters/MBA or PhD is preferred.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Candidates must be currently enrolled in a Bachelor's, Master’s, or PhD degree program studying Chemistry, Biology (e.g. Cell Biology, Virology), Biochemistry, Chemical/Biological Engineering, Materials Science, Pharmaceutical Science, or a related discipline.
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Knowledge of health science research methodologies, data applications and repositories, and health and government information sources. Provide faculty and student instruction, consultation and support in allied health disciplines including citation management, evidence-based practice, instructional support, interlibrary loan and & document delivery, NIH Public Access Policy, Data Management Plans and other federal mandates, and some work on literature reviews.
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Build and implement computational biology capabilities to translate biological data into insights. Work closely with the software engineering team in development and deployment of both automated production systems and scientist-driven data analysis platforms Provide guidance on experimental protocol design geared toward powering data insights, including scale and quality thresholds Develop novel computational methods for analyses of multi-omics data; identify gaps in existing methods/tools and develop novel solutions to bridge them.
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Coursework or minor in information systems, software engineering, computer science or data and analytics preferred; experience with data analysis tools and techniques such as Alteryx or Power BI preferred.
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You'll teach a Science curriculum that prioritizes knowledge of geology, astronomy, ecology, and cycles in nature to ensure students understand climate change and how to take care of the Earth.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Computer Engineering & Accounting, Data Processing/Analytics/Science, Economics, Electrical Engineering, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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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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Our brands portfolio includes CeraVe, La Roche-Posay, Vichy, SkinCeuticals and Skin Better Science, offering a range of skincare and haircare products to respond to all expectations linked to beauty and health of the skin.
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The Director of Data Science will collaborate within US Innovative Medicines, which is the Novartis engine for achieving best-in-class Healthcare provider (HCP) experience and transformative digital patient engagement.
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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.
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The Coordinator for Experiential Learning – STEM, under the direction of the Title V Project Director and in collaboration with STEM Division, will coordinate experiential learning opportunities (ELOs), and engage students in active career planning and exploration, beginning with the fields of Data Science, Cybersecurity, and Cyber Forensics, then extending to other STEM Division programs.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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data science jobs in South Orange, NJ
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