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Seeking a VP with expertise in computational chemistry and data science, ready to enhance and expand a state-of-the-art computational platform. Oversee the growth and management of the computational chemistry and data science teams, fostering a cohesive environment across US and China operations.
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VP, Data Science RWE | Top 5 Pharma. Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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Master's degree in data science, Computer science, demography, public health, social sciences, epidemiology, statistics, or related field. The consultant will also extend support to databases related to HIV and Immunization and ensure consistent coding practices to harmonize data management processes, with a focus on overlapping areas to enhance synergy across all three databases.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Ph. D. in Biochemistry, Molecular Biology, or related field with a strong focus on protein science. Proficiency in data analysis and scientific software tools (e.g., GraphPad Prism, MATLAB, Python.
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Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data. The ideal candidate will have a background in epidemiology, computer science and/or bioinformatics.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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Zap Energy is looking for a Research Analyst to join the data science team. Extensive experience analyzing experimental physics data and developing algorithms for data extraction.
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Experience building and deploying data science capabilities at scale via standalone applications, e.g., Shiny, Django, Flask, Angular or by embedding in business systems, e.g., SalesForce.
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Bachelor of Science degree in Hydrogeology, Geology, Environmental Chemistry, or related science major with hydrogeology coursework required. Our client is an environmental consulting and construction firm that designs and implements sustainable environmental solutions, including solid and hazardous waste management, landfill gas, site remediation, renewable energy, and regulatory compliance.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Data Management – Data conversion, Master data management and Governance. 2+ full lifecycle implementations (all phases) leading a package implementation with Microsoft Dynamics Platform – Finance & Operations (F&O), Supply Chain Management (SCM), Mobile app (PowerApps), Detaverse, Microservices, System integration.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Athletics, sports, dance, cheer, gymnastics, martial arts, exercise science, kinesiology, physical education, etc.) Teach the fundamentals of 10 different sports, including soccer, hockey, volleyball, basketball, tennis, lacrosse, football, track and field, baseball, and golf.
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data science jobs Title: consultant Company: Palo Alto Networks in New York, NY
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