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This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative.
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The Analytical Research and Development organization in Rahway, NJ is seeking a motivated Senior Scientist with technical expertise in data science and an ability to apply digital solutions to support our Company's pipeline of small molecule drugs, peptides, biologics, and vaccines.
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Assists with analysis of crystallographic and cryo-EM data for proteins and viruses. Preferred Qualifications Advanced degree in an appropriate life science or physical science discipline such as biochemistry, molecular biology, chemistry or a related discipline.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development.
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Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Our High-Throughput Experimentation organization is responsible for the invention of new technologies utilizing cutting edge robotics and data science to advance synthetic capabilities across multiple modalities including macrocyclic peptides, target protein degraders and small molecules.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Craft visually compelling visualizations, interactive analytical applications, and interpretive artifacts, enabling the practical application of data science findings in a dynamic business context.
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Key Responsibilities:The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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A Master's degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programming experience using healthcare data.
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Perform hands on to apply resolutions, best practices and recommended settings for the application infrastructure, which includes network, monitoring, server administration, Azure Cloud resource administration, CDN (Akamai), and Power BI. Deploy and support virtualized data center, IaaC, PowerShell scripting, DSC, automation.
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For this role you must have a degree in the Behavioral Health and Behavioral Health Sciences - Psychology, Behavioral Science, Social Work, Sociology, Counseling, Creative Arts, Art Therapy, Psychiatric Rehabilitation, Addiction Counseling, Substance Abuse Disorder.
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Design and carry out preformulation/physical characterization/physical pharmaceutics/materials science studies using traditional solid-state and solution state analytical techniques, including: XRPD, DSC, TGA, particle size, microscopy (OLM, SEM), micromeritics, rheology, powder flow, etc.
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Streaming & Data pubilishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Skills: Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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Familiarity with modern data governance practices and tools like Apache Atlas or AWS Glue. Knowledge of machine learning workflows and how data engineering supports AI/ML model s. Preferred Qualifications: Experience with Databricks for data engineering workflows.
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data science jobs Company: Apple in Edison, NJ
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