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Collect and evaluate non-/preclinical toxicology, kinetics and metabolism data including use of databases and digital/in silico tools and in vitro models. As Toxicologist/Scientist, you are the scientific expert assessing and ensuring the safety of dsm-firmenich products according to the international legislations and regulations.
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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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We are looking for a technically sound environmental scientist with strong leadership skills who is ready to be challenged and lead environmental planning, documentation and permitting tasks for major transportation clients.
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Understanding in single case processing, aggregate data review and evaluation of drug safety issues, adverse event dictionaries, literature publications, core labeling, and Periodic Safety Review preparation is required.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. The scientist in this role will establish a preclinical immunoscience focused Quantitative Systems Pharmacology (QSP) capability to support discovery and early drug development efforts.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies.
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Experience with at least one data integration tool (e.g., Talend, Informatica Cloud, Pentaho, Jitterbit, Boomi, and MuleSoft) Salesforce certifications: Salesforce Integration architect, data architect, admin.
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SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense.
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Provide analytical and financial analysis support to the Budget Director and Chief Financial Officer, including responding to ad hoc data calls from DOE. Ability to independently research, interpret, analyze, and compile data, and present results.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Hands on experience in building metadata driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real time); Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP; Utilize expertise in middleware technologies such as Mulesoft or Appian to design, develop, and deploy integration solutions.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Keywords: fabrication, sand/prep, cosmetic repair, restore, fiberglass, filler, painting, Works with a variety of metals and plastics, as well as glass, and mechanical parts, Collison, Auto body, Truck body, Framework, Refinishing, Commercial body work, Fleet repair, Collision technician, Truck repair, Disassembling/assembling vehicles, Lead painter, Upholstery, Bodywork, Trim repair, Rebuild/teardown.
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Statisticians develop collaborative relationships and work effectively with the Global Biometric Sciences (GBS) Lead, the GBS Planning and Execution Lead, statistical programmers, external partners, medical monitor, protocol manager, data manager, PK scientist, and other members of the study/indication team.
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