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Research Specialist D/Computational Scientist (Machine Biology Group) Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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They may perform experiments, record results and analyze the resultant data, publish original findings, apply for funding, and communicate results in presentations in and outside the Cancer Center.
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Reporting to the Lab's Managing Director, the Data Scientist will manage the ingestion and processing of data from external providers, implement data quality assurance procedures, manage relationships with Amazon's AWS and other external computing clusters, and supervise third party developers.
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The Computational Research Scientist and Project Manager in the Cremins Lab will be responsible for both specific research projects as well as the oversight of the computational infrastructure and computational code and data analysis standards for the laboratory.
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Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. experience with neuroimaging tools (SPM, AFNI, FSL) is preferred but not required. The Data Analyst Associate will lead a new effort that will synthesize available data from clinical trials of classic psychedelics, MDMA, and ketamine via a series of meta-analyses and systematic reviews.
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Develops and maintains enterprise infrastructure by creating efficient, adoptable frameworks to be used across the organization for the data operations platforms in use like Databricks, EMR, AWS services, and 3rd party monitoring tools like Monte Carlo and Datadog.
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Information Systems & Computing (ISC) is the University of Pennsylvania’s central IT organization, providing the core network, data, voice, video, and enterprise application infrastructure and services upon which Penn’s numerous Schools and Centers build their unique tools and capabilities.
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Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
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Data Loss Prevention Sr. Manager - Hybrid page is loaded Data Loss Prevention Sr. Manager - Hybrid Apply remote type Hybrid locations Bloomfield, CT Philadelphia, PA time type Full time posted on Posted 2 Days Ago job requisition id 24000249 The Data Loss Prevention (DLP) Senior Manager will be responsible for leading a dedicated DLP Technical team which will focus on new Cyber Security Technology along with the mindset of creating an "Insider Threat Program.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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Latitude is seeking a Cybersecurity/Data Privacy Attorney to join the first-party cyber incident response team of a dynamic mid-sized firm to assist clients in the diverse and quickly evolving field of data privacy and information security liability.
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Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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In addition, through the HMIS, OHS will be able to comply with data reporting requirements of other federal partners such as the Veterans’ Administration and Runaway Homeless Youth. The Senior HMIS Data Analyst will provide support to homeless services providers in an effort to assure that data quality is maintained in HMIS as it pertains to monitoring accuracy, relevancy, timelessness, consistency, reliability, and completeness of data entered in the system.
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Experience with business intelligence software such as Datorama, media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure. We ask that you have dual knowledge of both data engineering and a knowledge of media data as you will help advance our current warehouse solutions (built on the Datorama and Snowflake technology stacks), classifying real-time data for our clients and ensuring that the data has flowed through our warehouse solutions correctly for downstream user ingestion.
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data scientist remote jobs Title: data in Philadelphia, PA
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