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Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others.
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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. At least 2 years of experience in big data technologies.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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If you are interested or know of someone that would be a great match, please send a MS Word resume to John Marino at John@SourceRecruitmentSolutions.com Source Recruitment Solutions, LLC. Or apply now online by directly clicking the “ APPLY NOW ” link: #Quality #QualityAssurance #QualityAssuranceManager #QualityAssuranceJobs #food #HACCP #SQF #ConsumerProducts #Monster.com.
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We also offer Tuition Reimbursement as well as the BDF Education Foundation Scholarship Program open to employees and their dependents. The right candidate will have had hands-on experience with high end IGA tools, such as Saviynt, as well as Active Directory, Access Management solutions, Identity Providers (OKTA and/or Azure AD SSO) in order to integrate and manage the overall Identity process.
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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
$218,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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College Areas of Research Excellence include psychoacoustics, neuroscience, understanding the mechanisms underlying speech, voice and language disorders, neurological disorders, neuro-rehabilitation, neuro-habilitation, pediatric rehabilitation, musculoskeletal health, mental health and well-being, public health, nutrition, health equity, and integrated health technology and data sciences.
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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores. Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
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PM - pm or PM - : PMMon-Friday rotating weekends – Is this for and Medical Lab Technician [ year MLT degree ] or Medical Lab Scientist / Medical Technologist [ year BS] or are you open to either.
$35 - $38.78ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with next-generation sequence data analysis tools● Basic understanding of molecular biology and next generation sequencing is highly preferred● Familiarity with single cell data analysis is preferred, but not required.
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Requirements:Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related quantitative discipline with at least 3 years experience working on real-world data. Description & Requirements The Proteomics group at the is looking for a highly motivated and skilled Computational Proteomics Scientist Il. The successful candidate will focus on developing and applying innovative computational approaches to analyzing proteogenomics data spanning genomics, transcriptomics, proteomics, phosphoproteomics and other posttranslational modifications from cancer, cardiovascular, infectious and other diseases being actively studied in our group at Broad.
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Perform data analysis and author/ review method SOP, assay development summary and report. Scientific training and hands-on experience with various cell-based and molecular assays, including but not limited to 2D and /3D cell culture, cell-based potency assay, ELISA, western, qPCR, RT-qPCR, and DNA/RNA/protein extraction from cells and animal (including NHP) tissues.
$73 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Oversee quality assurance activities to ensure the integrity, accuracy, and compliance of clinical trial data within Veeva Vault applications, in accordance with regulatory requirements (e.g., FDA guidelines, GCP standards.
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big data open source jobs Company: Google in Waltham, MA
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