Support development of AI-powered estimating tools, cost model development, and data collection, organization, and analysis, particularly working with unstructured data.
Compensation
Summary Pay Range: $97,750 - $132,250
Responsibilities
Work with Boeing data systems (IRE, EAS, PMAS, CSPR, etc.) to create databases and data tools, understanding how our different data sources connect to link them for various data tool solutions, managing the ETL process
Develop analytical solutions for imperfect datasets
Work with and understand datasets from a variety of programs/platforms and systems; Data normalization
Map data to common baselines to normalize and analyze cross platform data
Leverage Large Language Models (LLMs) to process and analyze text data
Requirements
Bachelor’s degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
The Clinical Research Analyst provides data analytic, data processing, and quality control support related to the conduct of research at the Yale SANA Lab.
Compensation
$55,000.00 - $85,000.00
Responsibilities
Set up new projects and implement recruitment and data processing pipelines in collaboration with study investigators
Investigate, analyze, and reach preliminary scientific conclusions related to research and research planning
Ensure data results and QC reports are compiled, analyzed, and presented accurately
Analyze, develop, and interpret scientific results and maintain clear documentation of results
Write and assist with manuscript writing and grant applications including creating visualizations
Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities, ensuring they are scalable and performant for large-scale clinical data analysis.
Responsibilities
Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities.
Creates user-friendly applications for statistical review, data exploration, quality control, and reporting.
Develops reusable Shiny modules and application frameworks to promote consistency and efficiency.
Optimizes application performance, scalability, and usability.
Develops reusable programming utilities using R, SAS, and Python.
Requirements
Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field
Design, develop, test, and maintain interactive R Shiny applications for clinical trial activities, ensuring scalability, performance, and regulatory compliance.
Responsibilities
Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities
Creates user-friendly applications for statistical review, data exploration, quality control, and reporting
Develops reusable Shiny modules and application frameworks to promote consistency and efficiency
Optimizes application performance, scalability, and usability
Develops reusable programming utilities using R, SAS, and Python
Requirements
Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field (Master's preferred)