Role Description Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team. - Manage the delivery of high-quality data from project start-up and planning to project execution and project closeout on several projects - Independently perform project specific quality control and quality assurance tasks on all projects - Ensure consistency, accuracy, and adherence to federal regulations, Good Clinical Practice, Good Clinical Data Management Practices, as well as SOPs and Working Instructions - Manage patient protocol information and review protocol and incorporate protocol-specific guidelines into the review of clinical trial data on several projects simultaneously - Contribute to the design of the databases and forms, ensuring they meet requirements for entry and reporting of clinical data of varying complexity - Test new processes and systems for the management of data in clinical trials - Test clinical trial databases and data entry screens assuring compliance with protocol and institutional processes and procedures - Process, track, and validate data accurately and on time, in accordance with data processing and entry instructions - Perform data abstraction and data entry on several different protocols into multiple clinical research databases - Develop and extract patient clinical data reports for publications and presentations - Possess proficiency with clinical databases and report tools - Identify project specific reports and assist in the development of these reports - Prepare, review, and submit clinical data to monitoring agencies - Maintain client communication regarding data management project status and review key project questions with client Qualifications - A bachelor’s degree - 0-2 years of experience in a related or applicable field, or an equivalent combination of education and experience Benefits - Competitive pay and benefits packages - Health care, dental, vision, life insurance - 401(k) - Education assistance - Paid time off including PTO, holidays, and any other paid leave required by law EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

Role Description Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Visualization Specialist to support KPS and our government customer. The position is remote and requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity. - Translate complex data into actionable insights through the development of reports, dashboards, analytical visualizations, and presentations that directly support federal grant management decision-making. - Design and develop interactive dashboards, reports, and data visualizations using Tableau, Power BI, D3.js, and other tools. - Translate complex data analysis into clear, accessible visual stories that highlight trends, patterns, and actionable insights. - Collaborate with federal staff, Data Analysts, Data Engineers, and program leadership to understand visualization needs and gather feedback. - Design and maintain operational dashboards for grant management, including performance metrics and compliance tracking. - Ensure all visualizations meet federal accessibility standards (Section 508 compliance). - Develop interactive visualizations using D3.js, Tableau, and Power BI; integrate data from multiple federal systems. - Create templates, standardized visualization frameworks, style guides, and visualization libraries. - Assist with leadership data requests and trend analyses. - Develop data-informed documentation including reports and guidance to enhance operations and information systems. Qualifications - Bachelor’s degree in Data Visualization, Information Design, Data Science, Graphic Design, Human-Computer Interaction, or related field from an accredited college or university. - A minimum of 3 years of relevant post-baccalaureate professional experience in data visualization. Requirements - Strong design skills and visualization principles. - Experience with Tableau, Power BI, D3.js. - Proven experience translating complex data into interactive dashboards and visual stories. - Stakeholder collaboration skills and presentation development experience. - Exceptional communication skills to translate complex data into visual stories. - Ability to work independently and collaboratively in a team environment. Benefits - Competitive compensation. - Extraordinary benefits package including health, dental, and vision insurance. - 401K with company matching. - Flexible spending accounts. - Paid holidays and three weeks paid time off.

• Develop and evolve Data Science and Generative AI solutions applied to the company’s products; • Design architectures for intelligent agents and conversational flows based on LLMs; • Build RAG (Retrieval-Augmented Generation) pipelines, integrating structured and unstructured data; • Develop predictive models and Machine Learning algorithms for agribusiness scenarios; • Integrate AI solutions with APIs, databases and corporate systems; • Work on monitoring, evaluation and continuous improvement of models in production; • Ensure best practices for security, governance and data isolation in multi-tenant environments; • Support cross-domain analytical initiatives, connecting different verticals and data sources; • Disseminate technical best practices and contribute to strengthening a data-driven culture.

• Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor. • Translate business problems into well‐defined AI use cases, with clear success metrics and operational outcomes. • Define and operationalize standard frameworks for AI use‐case intake, prioritization, development, deployment, and lifecycle management. • Lead the end‐to‐end delivery of ML‐driven solutions, from problem framing and model development through production deployment and adoption tracking. • Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and long‐term capability goals. • Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models. • Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform. • Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner. • Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and long‐term scalability. • Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery. • Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization. • Communicate progress, risks, and outcomes to senior stakeholders using clear, business‐focused language.