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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Sr Research Scientist I - Oncology Bioinformatics, Research Data Science. We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Qualifications: Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
$65 - $70 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in utilizing cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 7+ years of experience in data engineering, or an equivalent combination of education and experience.
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Currently enrolled in university, pursuing a Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Data Science, Bioinformatics, or other related field.
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The Clinical Data Manager / Senior Clinical Data Manager (CDM) is responsible for data management activities across one or more studies from study start-up through study closure to ensure completion per established project team goals and objectives, including oversight of the CRO DM Vendor, if the project is outsourced.
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PhD in a quantitative field (e.g., mathematics, computer science, engineering, statistics, bioinformatics, molecular biology, biochemistry etc.) Develop and implement algorithms across a range of in-house acquired data including, but not limited to genetic sequences, RNA expression, protein expression and protein structure.
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Bachelor's Degree (Data Science, Data Architecture, Data Engineering, Economics, Business, Computer Science Field preferred) Experience with data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, metadata management, data standards, regulatory compliance, and enterprise architecture frameworks.
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Job DescriptionTitle: Medical Science Liaison, Northeast RegionLocation: RemoteAbout Us:Vera Therapeutics (Nasdaq: VERA), is a late-stage biotechnology company focused on developing treatments for serious immunological diseases.
$202,000 - $226,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have experience/expertise in the development, execution, and management of data collection and data quality review for clinical/health outcomes research studies, clinical trials, and/or digital health research studies.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Features like intelligent caching, unified namespace, and data management provide agility and cost efficiency to customers in financial services, high-tech, retail, and telecommunications. Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Stay informed with emerging literature and science in the modeling and simulation sciences.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data science jobs Title: data engineer Company: Meta in Burlingame, CA
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