RAYUS Radiology is looking for an Accounts Payable Manager to join our team. This role involves managing and leading the Accounts Payable team, providing oversight of the day-to-day operations to ensure accurate and timely processing of all Accounts Payable responsibilities. Manage weekly vendor payment processes and accounts payable month-end close process Manage resources to meet deadlines and customer needs in an efficient and cost-effective manner Oversee administration of Great Plains payables module and Coupa software Identify and implement process improvements and efficiencies Develop, maintain, and document internal policies, procedures and practices Manage Company purchasing card compliance reporting process Participate in monthly accounting steering committee meetings and lead process design changes and training that arise from upgrading or converting to new software Develop, mentor, and supervise the accounts payable team Define job responsibilities and set department priorities Oversee and participate in team member development, performance evaluations, compensation, performance improvement plans, disciplinary actions and/or terminations when necessary Oversee and assist in the hiring and training of new team members Develop, implement and present training sessions for new and existing team members Complete other duties and projects as assigned

This position involves driving financial strategy across the Americas region, providing critical guidance for operational excellence and financial oversight. Provide financial leadership for AMER Operations. Act as the financial steward, offering analysis and recommendations to senior management. Supervise the financial management of three manufacturing plants ensuring alignment with targets. Develop clear financial strategies to support regional operational excellence. Drive productivity and cost-efficiency in partnership with operations. Measure and report on productivity KPIs and cost-saving initiatives.

As a Staff Analytics Engineer, you are the technical authority for Engine’s data ecosystem. You will lead the transition from a monolithic legacy environment to a sophisticated, multi-project Medallion Architecture. This role is designed for a high-level Individual Contributor (IC) who thrives on solving "unsolvable" spaghetti-code problems and establishing the engineering standards that allow our entire data org to move faster, with higher trust. Architectural Overhaul: Lead the design and execution of a massive migration from 1,200+ legacy dbt models into a modular, three-project Medallion structure (Bronze, Silver, Gold). Systems Governance: Define the "Engine Standard" for data contracts, naming conventions, and testing frameworks. You aren't just following a process; you are building the process others will follow. Performance & Scalability: Partner with the Principal Engineer to optimize our Snowflake footprint. You will identify systemic inefficiencies in our DAGs and warehouse usage to drive down costs while increasing query speed. Technical Mentorship: Act as a force multiplier for the team. You will lead high-level design reviews, provide "Staff-level" feedback on PRs, and elevate the technical bar for our Senior and Mid-level engineers. Strategic Partnership: Bridge the gap between Engineering and Business. You’ll ensure our infrastructure supports long-term growth (3–5 years out) without compromising the day-to-day execution speed of our analysts.

CyberData Technologies is seeking a highly analytical and detail-oriented Modeling and Simulation Specialist to support evaluation, research, and data analysis efforts for diabetes prevention programs led by the Centers for Disease Control and Prevention (CDC). This position plays a key role in designing applied research methods, developing statistical models, managing large datasets, and simulating outcomes to evaluate the impact of chronic disease prevention interventions, particularly for the National Diabetes Prevention Program (National DPP). The ideal candidate will combine technical acumen with strong statistical and public health expertise, enabling the delivery of high-impact insights that inform national policy and program improvement. Applied Research & Evaluation Design Develop methodologies to assess the effectiveness and utilization of diabetes prevention interventions. Design and implement data collection instruments for both quantitative and qualitative data (e.g., focus groups, interviews, surveys). Analyze evaluation and implementation data using advanced statistical and modeling techniques to generate insights for decision-making. Prepare concept papers, reports, manuscripts, and detailed recommendations for improving program design and delivery. Identify best practices and formulate data-driven policy recommendations for national translation efforts, including the National DPP and Diabetes Self-Management Education programs. Develop methodologies to assess the effectiveness and utilization of diabetes prevention interventions. Design and implement data collection instruments for both quantitative and qualitative data (e.g., focus groups, interviews, surveys). Analyze evaluation and implementation data using advanced statistical and modeling techniques to generate insights for decision-making. Prepare concept papers, reports, manuscripts, and detailed recommendations for improving program design and delivery. Identify best practices and formulate data-driven policy recommendations for national translation efforts, including the National DPP and Diabetes Self-Management Education programs. Statistical Analysis, Modeling & Data Simulation Conduct advanced data modeling and simulation to evaluate diabetes risk factors, program outcomes, and potential policy impacts in underserved communities. Design and maintain relational databases for data storage, manipulation, retrieval, and quality control across multiple platforms and networks. Write custom programs in SAS, SQL, R, and other statistical tools to automate data processing, generate reproducible analytics, and produce Standard Operating Procedures (SOPs). Collaborate with evaluators, statisticians, and program stakeholders to define evaluation questions, build scalable data pipelines, and ensure rigorous methodology. Conduct advanced data modeling and simulation to evaluate diabetes risk factors, program outcomes, and potential policy impacts in underserved communities. Design and maintain relational databases for data storage, manipulation, retrieval, and quality control across multiple platforms and networks. Write custom programs in SAS, SQL, R, and other statistical tools to automate data processing, generate reproducible analytics, and produce Standard Operating Procedures (SOPs). Collaborate with evaluators, statisticians, and program stakeholders to define evaluation questions, build scalable data pipelines, and ensure rigorous methodology. Data Visualization & Dissemination Create compelling visualizations (dashboards, charts, GIS maps, motion graphics) using Tableau, SAS Visual Analytics, and ArcGIS. Summarize findings into user-friendly products for internal staff, CDC leadership, and external stakeholders. Present research at local, regional, and national conferences, contributing to the national evidence base on diabetes prevention and public health modeling. Create compelling visualizations (dashboards, charts, GIS maps, motion graphics) using Tableau, SAS Visual Analytics, and ArcGIS. Summarize findings into user-friendly products for internal staff, CDC leadership, and external stakeholders. Present research at local, regional, and national conferences, contributing to the national evidence base on diabetes prevention and public health modeling.