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Principal Scientist, Bioinformatics Data Science Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases.
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Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
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Understanding of biomedical/biomarker data and/or other life science data. Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with a variety of relational database and data warehousing technology such as AWS Redshift, RDS, BigQuery, Databricks.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Programming, SOLIDWORKS, FPGA programming, digital design, digital signal processing, image processing, data analysis, RF design, or structural analysis. Job Description The group seeks a Student Technical Assistant to work with our engineering staff on advanced concept demonstrations in the areas of data analysis, algorithm development, software development, digital signal processing, hardware design, and flight test support.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Ph. D. (or equal work experience) in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong emphasis on data engineering, bioinformatics pipeline development, and human genetics.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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Strong understanding of scientific sampling methodologies and the state-of-science on a broad range of terrestrial, wildlife, soil, and water quality issues. Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field.
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data science jobs Title: entry level Company: Vector Marketing in Waltham, MA
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