• Optimize and scale Addi’s capital structure by executing sophisticated debt financing strategies that ensure long-term liquidity and lower the cost of funds to fuel rapid regional expansion. • Achieve Lender Reporting by deploying AI agents that automate the vast majority of manual compliance checks, significantly accelerating the monthly reporting cycle to a near-instantaneous turnaround. • Reduce "Ineligible Loan" drag through the implementation of real-time automated quality gates that flag non-compliant originations before they hit the loan tape. • Launch an "AI Allocation Engine" that autonomously suggests the optimal loan-to-lender strategy based on real-time cost-of-funds and concentration limits, consistently improving portfolio margin. • Establish a "Predictive Covenant Dashboard" that provides multi-horizon forecasts of compliance buffers, giving the Treasury team substantial lead time to proactively manage any potential technical breaches. • Ship Production AI Agents (Reporting, Monitoring, and Allocation) with a documented evaluation framework (LLM-as-a-judge) to ensure institutional-grade accuracy in financial data interpretation.

Premier Research is looking for a Central Monitor II to join our Global Clinical Strategy and Delivery team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. - We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. - Your ideas influence the way we work, and your voice matters here. - As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here. What you'll be doing: - Conducting ongoing reviews of clinical trial data using various technologies, analytic and visualization tools to monitor the quality of data, patient safety and relevant risks as per the Risk Assessment for the study. - Monitoring site and / or study performance, data trending related to quality and site performance and escalation to the appropriate functional team lead. - Communicating Data Analytics Insights of potential risks or identified issues that could pose a risk to subject safety and data integrity. - Develops Risk Analytics Monitoring Plan for assigned projects. - Presents central monitoring findings to the internal team and sponsor teams on a predetermined frequency. What we are looking for: - Bachelors (or equivalent) in the biological sciences, computer sciences, mathematics, or data sciences and / or related disciplines in the health care domain - For a Central Monitor level I - will require 1-2 years' experience in Clinical Data Science or Clinical Research experience (Site Operations, Monitoring on-site / remote). - For a Central Monitor level II - will require 2-5 years' experience in Clinical Data Science or Clinical Research experience (Site Operations, Monitoring on-site / remote). - Global study experience preferred. - Knowledge and implementation of ICH GCP E6 R2 & R3 guidelines. - Experience of supporting risk-based monitoring.

***This position is contingent on contract award*** RMC is hiring for a Data Analyst to support he safety and health management needs of a large federal agency. This position can work remotely in CONUS. In this role, you will collect, process, and analyze data in support of occupational safety and health programs. You will work closely with cross-functional teams to identify trends, generate insights, and increase workplace safety. Role & Responsibilities: - Collect, clean, and validate data from multiple sources to ensure accuracy and consistency - Analyze large datasets to identify trends, patterns, and actionable insights - Develop dashboards, reports, and visualizations to communicate findings effectively - Collaborate with stakeholders to understand business needs and translate them into data requirements - Perform ad hoc analyses to support decision-making across departments - Maintain and optimize databases, data systems, and reporting tools - Document processes, methodologies, and data definitions

Tiger Analytics is looking for experienced Lead Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Lead Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment. Key Responsibilities - Partner with business stakeholders to understand and translate business needs into solution requirements. - Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources. - Use Python for data processing, automation, and analytics. - Work with AWS /GCP/ Azure cloud services to manage and analyze data in cloud environments. - Perform data validation, quality checks, and troubleshooting for data pipelines. - Build reports, dashboards, and insights to support business decisions. - Facilitate large stakeholder groups and manage the complete requirements lifecycle. - Conduct structured analysis using both quantitative and qualitative techniques. - Profile data manually and document transformation logic and rules. - Produce clear and concise Source to Target Mapping Documents with detailed Data Mapping Requirements. - Collaborate effectively within an Agile environment. - Collaborate with data engineers, analysts, and business stakeholders to understand requirements. - Ensure data accuracy, consistency, and governance across systems.