Two-year technical certificate or equivalent experience
Experience on set-up and maintenance of electronic and/or mechanical test equipment, operating standard equipment, chamber tools, and the ability to apply logic in the analysis of the problems
Must have experience using electronic and mechanical testing equipment
Must have the ability to read and interpret electronic drawings and customer supplied blueprints and drawings
Must have a basic knowledge of statistical techniques
Must have a good working knowledge of using and referencing military and industry standards
Extensive user of Microsoft Office Programs (Word, Excel, Access)
Must be experienced in the use of Microsoft Excel spreadsheets, including macros/calculations, and must have the ability to analyze and present the data in a clear and accurate manner
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Must know the definition of PDCA and understand the team concept
Must be able to read and interpret blueprints and drawings and know the definitions of critical, major and minor characteristics
Must have a general knowledge of ASME Y14.5M, working knowledge of GD&T
Must understand the x, y, and z coordinate system
Must be able to use inspection planning and sampling tools and perform a product audit by determining the required sample size for lots and pull the required random samples
Inspect and approve incoming materials by confirming specifications, conducting visual and mechanical measurement tests, and rejecting and returning nonconforming materials
Inspects in-process and/or finished products by confirming specifications and drawings, conducting visual and mechanical measurement testing, returning nonconforming product for rework, and verifying and validating the completed rework
Documents inspection results by completing the required reports and logs in a timely basis while summarizes rework and scrap while inputting the data into the respective database
Must know basic statistical terms and techniques, how to enter and plot data as well as recognize out-of-control conditions
Must understand types of measurement, measurement terminology and the different types of measurement scales
Must know the difference between accuracy and precision and be able to select the appropriate measuring tools and techniques
Must have knowledge of testing methods and be able to identify/recognize inspection and test errors and initiate resolution
Must have knowledge of testing methods
Must be able to identify and report nonconforming material
Must understand lot level traceability based on product, processes and raw material
Must have a strong knowledge of basic mathematical operations and perform measurement conversions; be able to solve for x; add and subtract degrees, minutes, and seconds
Accomplishes quality and organization mission by completing related results as needed
All benefits start immediately

SmartExplore AI is experimental.

New, Posted 4 hours ago

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Six Flags Great Adventure Careers

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Associate Director, TQS Analytics Engineering

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

BS/MS/PhD in Computer Science, Bioinformatics, or a related field with 8+ years of analytic engineering experience
Proficiency in Python, R, and SQL
Proven experience building scalable, production-grade data pipelines and cloud-based architectures that support translational and clinical research workflows
Strong experience with Databricks, including Spark (PySpark, SQL), Delta Lake, and Unity Catalog
Familiarity with DBT for data transformations within the Databricks ecosystem is a plus
Hands-on expertise with AWS services such as S3, Glue, Lambda, Step Functions, Data-sync, EMR, Redshift, and core IAM/networking concepts relevant to secure and compliant analytic engineering
Experience implementing CI/CD pipelines (GitLab or similar), data testing frameworks, and infrastructure-as-code tooling (e.g., Terraform)
Familiarity with common translational and clinical data types, such as flow cytometry, cytokine and biomarker assay outputs, genomics/transcriptomics (RNA-seq, DNA-seq), proteomics, and other multi-omics datasets
Scientific knowledge in oncology is a plus
Ability to support translational and clinical analysis through basic statistical methods and the development of dashboards or interactive tools (R Shiny, Streamlit, etc.) as well as business intelligence platforms such as Spotfire, Tableau, or Power BI
Solid understanding of data governance, security, and compliance requirements in enterprise and research environments, including privacy considerations for clinical and biomarker data
Experience working in Agile/Scrum environments
Knowledge of GxP validation practices and e-system management and deployment experience in biotech/pharma R&D environments

SmartExplore AI is experimental.

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