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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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Key Requirements Demonstrated experience with pharma commercial analytics processes like Reporting, SFE, Marketing access and analytics, Managed care etc., Hands on Pharma commercial data sets like DDD, NPA, NSP, APLD, Rx, Call activity, Claims, One-Key Affiliation etc.,Demonstrated Analytics operations including brand launch support, brand positioning, customer segmentation, patient analytics, market mix modeling, campaign effectiveness measurement and competitive analysis, Omni channel etc.
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Experience with state-of-the-art AI & ML methods applied to biological sequence data (DNA, protein)Hands-on experience with public omics, protein and immune repertoire datasets such as PDB, OAS, SAbDab. Strong experience with scientific programming languages (Python, R) and data science libraries.
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Hands-on experience in the development/characterization of in vitro or in vivo CNS disease models. Hands-on expertise with performing and troubleshooting cell-based assays. Enthusiasm, dedication, flexibility, and collaborative spirit necessary to learn and take on new areas of research and drug discovery.
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Extensive hands-on experience with standard immunological techniques including multi-parameter flow cytometry, cell sorting, immunoassays such as ELISA, Cytotoxicity, in vitro co-culture assays (MLR, PBMC cultures, etc), and reporter bioassay development.
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About you:Commissioning, PIDs, biotech, cGMP, ISA data sheets, valve sizing, pump sizing, single-use, CIP/SIP, URS, FS/FDS/FRS, communication, organization, problem solving, hands-on, self-motivated.
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Hands on working experience in Primavera P6 Version 18 and above. Monitor, review and endorse FEED and EPC Contractors deliverables in terms of VOWD reporting, Trend Management and Earned Value Analysis Advise Senior Manager Project Controls and Project Leadership Team of any potential cost issues as early enough to mitigate, provide guidance on corrective actions and measures to mitigate any adverse trends.
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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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The position is a hands-on labor-intensive job that requires fiber splicing skills and cable placement skills within buildings, confined space and aerial locations that will be performed on the Lightpath network.
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Hands on experience with Python, SQL, Excel and BI analytics tools. Fraud prevention squad leader will lead the development of Customer Fraud Risk (CFR) prevention products through tight collaboration with Fraud Detection team, surveillance and investigation analysts team leaders, learning of evolving fraud patterns for consideration in product enhancements, and aligning on product designs and roadmaps.
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Hands-on experience in Flow cytometry, Immunocytochemistry, Microscopy. Characterize and evaluate the suspension differentiation process on various parameters including purity, yield, viability, morphology, and metabolites.
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Experience writing script languages in Groovy, Python, PowerShell, Golang, MSBuild, Terraform, ARM Templates, or BicepExtensive hands-on to integrating Maven, Gradle, package managers like NPM and JSPM, build tools to application builds and troubleshooting build issues.
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The successful candidate needs to demonstrate hands-on novel analytical development skills and a proven track record of managing CROs and CDMOs∯*∯ Experience with long acting injectable product development is a plus.
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Hands on experience in SAP IBP time series and order-based planning data models. Compare supply availability data such as open POs, On-Hand, WIP and Sales orders between source systems and Planning systems to ensure data is complete and accurate.
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hands on jobs Company: Metlife in Cambridge, MA
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