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The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE therapeutic delivery platform.
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The Data Scientist will be responsible for Exploratory Data Analysis (EDA), feature engineering, feature selection, real-time streaming pipeline engineering, online/offline feature store curation, iterating various modeling approaches, evaluating error metrics, deploying Machine Learning models to the cloud, creating compelling visualizations and communicating findings effectively to large audiences.
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The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
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A successful candidate in this role is an experienced data scientist with a proven track record in applying cutting-edge, advanced computational methods to drive innovative drug discovery and development.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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The Principal Scientist will be a core team member with a key role in growing and leading the Data Sciences function and will be responsible for representing Data Sciences internally and externally at senior leadership forums, at scientific conferences, and through peer-reviewed articles.
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Is this for and Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / Medical Technologist [4 year BS] or are you open to either : OPEN TO BOTH. Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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Biophysical and Biochemical Characterization: Perform comprehensive protein analytics using techniques such as size-exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC), differential scanning calorimetry (DSC)/differential scanning fluorimetry (DSF), capillary electrophoresis (CE-SDS), and capillary isoelectric focusing (cIEF.
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UCB is seeking a talented and experienced Senior Principal Scientist to join our Research Analytics team in Slough, United Kingdom. As a key member of the Research Analytics group, you will play a pivotal role in advancing UCB's drug discovery and development efforts by applying advanced analytical techniques to derive insights from complex data sets.
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Open to Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / Medical. Open to Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / Medical. Hep B, TB, MMR, T-Dap, Flu, Varicella, Covid.
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Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Generalist With Blood Bank Experience. Minimum 0-2 years of clinical laboratory testing experience is required.
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Excellent data analysis and interpretation skills, with familiarity using statistical tools and software for data processing (e.g., GraphPad Prism, Spotfire). Strong hands-on experience with protein analytics techniques such as SEC, HIC, DSC/DSF, CE-SDS, and cIEF.
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Experience working with large-scale biological and chemical data sets (e.g. biologics, sequencing, genomics, proteomics, high-throughput screening). Stay abreast of the latest developments in data science, bioinformatics, and machine learning, and integrate relevant methodologies into research projects.
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We are looking for a Data Scientist within Chewy’s Enterprise People Analytics (EPA) team located in Bellevue, WA or Boston, MA. This is a dynamic and innovative organization dedicated to encouraging a data-driven culture within our HR department.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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