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Direct, hands-on experience with mass spectrometry data workflows through multiple commercial and/or open-source peptide sequence search engines. Demonstrated expertise of how to develop quantitative and reproducible proteomics data sets to inform on molecular characterization in drug discovery programs.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
$70,000 - $105,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
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Serve as a leader within the QC group and as a knowledge resource (data review, electronic review, data integrity, GDP) within the company. QC Testing data review of products, raw materials, stability lots.
$98,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As an Azure Databricks SME you will play a crucial role in developing and implementing Azure Data Lake, MDM, and Veeva CRM integrations. In addition to Databricks, individual will provide oversight to Azure Cloud, and Veeva CRM data integrations.
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Trinity is in search of a highly motivated and innovative Client Success Manager, Commercial Operations to become an integral member of our Commercial Data Solutions (CDS) team to support our growing client base.
$105,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proficiency in R programming as well as SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS and SAS/SQL in a clinical data environment with excellent analytical skills. Data standards development and adherence including guidance on data continuum; drives strategy to ensure compliance with CDISC standards for all development programs to ensure regulatory submission compliance.
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We have an opening for a Senior Data Architect to collaborate with our Data Platform and Segmentation teams to build solutions that improve our ability to process and leverage data and improve our data integration velocity.
$127,600 - $159,500Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Oversee the development and testing of clinical databases and data cleaning procedures, utilizing Medidata Rave/Veeva, and enforce data integrity through comprehensive documentation and quality control.
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You may have experience with Spotfire, Tableau or other data visualization platforms. You bring previous experience with proteomics data processing and interpretation. Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Employ CBA data visualization and editing tools to aid in the efficiency of gap analysis in CBA development, generating Joint Capabilities Integration and Development Systems (JCIDS) products, and provide a persistent data model that will reduce the need to re-create data across multiple program documents, and will feed requirements documentation, allocation, and tracking tools such as Dynamic Object-Oriented Requirements System (DOORS.
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data warehouse jobs Title: data in Hanscom Air Force Base, MA
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