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The Technical Data Reviewer , reporting to the Sr. Director of Quality Control, will be responsible for reviewing experimental data within the Quality Control and Analytical Development laboratories along with technical documents such as reports, protocols, and standard operating procedures.
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Understanding of data governance, data quality management, data custodianship, and data regulations like GDPR/CCPA. Build product sense for data products while measuring user adoption, -growth, -retention, and data product quality.
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Independently respond to data quality issues in overnight feeds, enabling fast and seamless responses to upstream issues and insulating production and research from them. Exposure to methods, tools, metrics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow is a plus.
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Working closely with our data & analytics team and clinical trial experts, this role will harness the power of cutting-edge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decision-making in the field of clinical trial process.
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They are responsible for performing difficult specialized tasks including, but not limited to, advanced blood banking (antibody titers, elutions), advanced microbiology (Mycobacterium (Acid Fast Bacillus) Identification and Sensitivities, Mycology Identification, Virology, Anaerobic Culture, Polymerase Chain Reaction testing), molecular testing, high complexity testing, recording workload statistics, quality management projects and obtaining data for validation studies.
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The Data Solution Architect must have familiarity with traditional data technologies (Data Warehouse, Data Lake) as well as transformative capabilities such as Data Lakehouse, Data Fabric, and Data Mesh in order to define go-forward strategies which are compliant for US Govt clients – including addressing Federal Cloud security requirements, data privacy, data security, and data integration approaches which are approved for US Govt use.
$123,000 - $231,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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QA, quality assurance, cell therapy, gene therapy, CAR-T, cell and gene therapy, cell culture, mammalian cell culture, investigation, deviation, CAPA, non conforming, batch record, batch record review, technical writer, quality control, medical, dental, vision, 401k.
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We're looking for a Senior Data Analyst to help drive data-based decision-making at Adwerx. Expertise with data warehousing and database systems such as Amazon Redshift, Google BigQuery, Snowflake, or similar tools.
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May assists with quality control and data cleaning as directed. With supervision, responds to queries created by a CRO or the data manager. Under direct supervision from Biostatistician and PI may perform basic analyses on structured data.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Wolfspeed is seeking a proven, hands-on Semiconductor Quality Engineer to proactively lead the Manufacturing Quality function for Wolfspeed silicon carbide wafer manufacturing in the Raleigh/Durham area of North Carolina.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab.
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Enterprise scale expertise in data management standard methodologies such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
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You hold a Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics with no industry experience, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field, or a Master's degree and 2 - 3 years of relevant experience or a Bachelor's degree in one of these fields with 4 - 5 years of relevant experience.
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Develops, maintains, and provides expertise on site quality and/or business systems, tools, data, procedures, and processes on an ongoing basis. Uses existing procedures to solve routine or standard problems and uses data to make Quality decisions.
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data quality jobs Title: senior manager in Durham, NC
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