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Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
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7+years of experience in conjunction with advanced education in advanced analytics, which includes regressions, ANOVA, factor analysis, reliability analysis, statistical/data modeling software (e.g., SAS, SPSS, R, Python, SQL), business systems (ATS, HRIS), and data warehouses.
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Senior Data Scientist Remote United States United States United States United States Tomorrow.io Tomorrow.io Remote Remote United States. Senior Data Scientist Full Time New York New York New York New York United States United States United States United States Jerry Jerry Full Time Full Time New York , United States.
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Crossbow Therapeutics is looking for a Senior Scientist/Principal Scientist, Biology. Demonstrated experience with flow cytometry, including FlowJo data analysis. Independently work to generate, critically analyze and interpret data with scientific rigor and an open mind.
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Perform integrative analysis of multiple biomarker assessments including gene expression, IHC/Multiplex IF data, safety biomarker, and drug response data for baseline and post-dose biomarker discovery for clinical programs.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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REPORTS TO : Principal Computational Scientist, Genomics Platform. Conceive and implement novel computational tools for the characterization and use of full-length single-cell/spatial/bulk RNA long-read sequencing data.
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We're looking for a creative, collaborative, and highly motivated bioinformatics scientist to join our biology R&D team to work on exciting advanced biology research projects for the U.S. Government.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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The Senior Bioinformatics Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNseq, single-cell ATAC-seq, spatial transcriptomics, bulk RNseq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data.
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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Job Description - Medical Laboratory Scientist, Chemistry - Evening (3268451) Medical Laboratory Scientist, Chemistry - Evening - ( 3268451 ) Medical Laboratory Scientist. Operates computer terminals to enter and retrieve pertinent laboratory information and reports, corrects inaccurate laboratory data.
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The Asset Management Quant Research Engineering team is looking for a Principal Data Engineer who wishes to take on the challenge of building a world-class data operation. Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake.
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Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
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