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Open to Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / MedicalTechnologist [4 year BS] Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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The Alloy Global Bioanalytics group provides bioanalytical support to all Alloy activities, including assay development, quality control, and high-throughput characterization of antibodies, TCRs, TCR mimics, and other modalities.
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Open to Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / Medical. Perform and document preventive maintenance and quality control procedures. Report accurate and timely test results to deliver quality patient care.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Master Data Management / Data Quality Management / Governance Collibra, Atacama, Alation, Reltio etc.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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Establish relationships with CROs to execute the strategy including qualification of novel matrices, transfer in-house assays, monitor assay qualification/validation and biomarker testing from patient samples to ensure high quality biomarker data.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + 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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Lead and/or engage in the design, execution, and analysis of experiments to deliver high quality data and enable project decisions. Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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The Senior Analyst / Scientist will work cross-functionally with others in Quality Control, Analytical Development teams, Quality Assurance, and Manufacturing, as needed. The individual will also work on data trending, invalid assays investigations, quality events (investigations, deviations, Change control, CAPAs) and analytical assays for AAV efficacy (potency), safety and product quality.
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Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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DNA characterization and quality control testing using techniques such as gel electrophoresis, RNaseA testing, nanodrop, PCR, and preparation of samples for sequencing analysis (Sanger and NGS.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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SWS Professional Wetland Scientist (PWS) certification a plus. Connecticut Qualified Soil Scientist a plus. The successful candidate should be a self-starter who can perform wetland and other natural resources surveys, environmental permitting, and natural resources planning activities for a variety of projects including Transportation, Energy, Water/Wastewater and Stormwater Infrastructure Construction.
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The Principal Scientist, Computational Biology leads the development and deployment of computational methods for NGS-based clinical diagnostic assays in our clinical labs. Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects.
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data scientist quality open source predictive analytics jobs in Boston, MA
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