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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Fidelity's Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others.
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Knowledge of statistical methods and machine learning techniques applicable to the analysis of large-scale proteomics datasets. Proficiency in programming languages such as R and Python and experience working in Unix/Linux environments.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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Responsible for providing technical support for Oracle HCM, iCIMS/Avature, Saba, Fuse Learning and SplashBI. Support existing HR applications including Oracle EBS HCM, iCIMS/Avature, Saba, Fuse Learning, SplashBI and functional groups which require monitoring, delegation, and the resolution of support tickets.
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Certifications: BCLS/BLS - American Heart Association/ARRT(R) Titan Medical is looking for travelers to fill a Travel X-Ray Tech position for a 13 week assignment in Boston, MA! AlliedTravelCareers is working with Titan Medical Group to find a qualified X-Ray Tech in Boston, Massachusetts, 02134.
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Develop complex inquiries with SQL, Python and ETL to perform analyses of the underlying data in our systems and highlight trends, issues, and findings. Serve as a key Subject Matter Expert in the implementation of new technology initiatives to enhance the Compliance data repositories, reporting, analytics, and overall program with a strong focus on AML/BSA compliance.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Bio measures Endpoints and Study Technologies (BEST) projects.
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As a R&D Senior Robotics Engineer you will be responsible for: Develop the complex electromechanical systems of the next generation robotic platform. Job Description : We are currently looking for an ambitious R&D Senior Robotics Engineer to join our Endovascular Robotics business within Advanced Therapies.
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Conducts data analysis (SQL, Excel, Data Discovery, etc.) Conducts data lineage and impact analysis as a part of the change management process. Implement and maintain data governance policies and procedures to ensure data quality, security and compliance.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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MS Excel (R, Python, JAVA, SQL, html, etc. Understanding of R&D processes and scientific data lifecycle. Familiarity with data standards, semantics, terminologies, ontologies, g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus.
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