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ResponsibilitiesWe are in search of a skilled Data Scientist to join our Technology Team. The role involves developing Large Language Model (LLM) applications, including specialized agents and tools, to assist our employees and clients in answering questions and streamlining daily operations.
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NORC at the University of Chicago seeks a qualified Research Scientist to provide technical, policy, and analytic support to a federal advisory committee focused on alternative payment models and associated care delivery models.
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Johnson & Johnson is recruiting for a Principal Scientist, In Silico Discovery (ISD). This position can be in La Jolla, CA or Spring House, PA. Remote work options may be considered on a case-by-case basis and if approved by the company.
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We are seeking creative, self-motivated informatics and data scientists to join our In Silico Discovery (ISD) team to bring their expertise to exciting efforts in drug design across both small molecule and alternative modalities.
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We are expanding our capabilities in informatics across multiple drug discovery platforms, including DNencoded library (DEL) screening, peptide-display discovery, support for RNbased therapeutics, parallel medicinal chemistry (PMC), targeted protein degradation, and high-throughput screening (HTS.
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The Therapeutics Discovery organization within Johnson & Johnson is continuing to build key scientific expertise in computational and medicinal chemistry, screening, and pharmacology to partner closely with our outstanding therapeutic area scientists to develop groundbreaking new medicines in the areas of Oncology, Immunology, Neuroscience, Cardiovascular, and Retina.
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We're looking for a Data Scientist to help drive impact, starting with our ads platform which connects low-income users to significant financial savings, including government-subsidized discounts they may not be aware of.
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Ignite is seeking a Geospatial Intelligence (GEOINT) Integrator / Data Scientist to support the development of analytic methodologies oriented toward enabling the statistical analysis, predictive modeling, and data visualization objectives of an intelligence community client.
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The collection of mission and technical areas that we support is quite broad, and we recognize that successful candidates may come with a similarly wide range of technical backgrounds and extracurricular experiences: Requirements Extensive practical experience with spaceborne, airborne, and UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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SOSi is seeking a Mid-Level Imagery Scientist in Charlottesville, VA, who will provide scientific and technical support as a member of a multi-disciplinary team of applied remote sensing professionals.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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Mid-level Data Scientist - Remote Job, 2-3+ Year Experience. Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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We are seeking a highly motivated and analytically adept Data Scientist with a strong strategic mindset to join our team. Extensive experience working on strategy or full-life cycle data science with tech/programming languages such as Python, R, git, DBT, Databricks/Snowflake.
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Previous experience as a GEOINT Analyst in a data driven/statistically driven environment or as a Data Scientist in support of an Intelligence Community mission; Demonstrated expertise with GIS and remote sensing tools such as: ArcGIS/ArcPro or Boundless Desktop GIS.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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