• Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting. • Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs. • Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes. • Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements. • Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.

Company: AHI agilon health, inc. Job Posting Location: Remote - USA Job Title: ​ Clinical Data Scientist II Job Description: ​ Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future. The Clinical Data Scientist II supports Enterprise Analytics by performing complex healthcare data analyses and delivering clear, actionable insights to leaders. This role requires strong technical skills and healthcare knowledge and operates with moderate supervision, receiving guidance on priorities, scope, and approach while independently executing assigned work. To be considered, candidate must be located EST or CST Essential Job Functions: Data Analysis & Insights - Perform advanced data analysis to identify trends, cost drivers, and improvement opportunities. - Analyze structured and unstructured data to address complex clinical, financial, and operational questions. - Develop insights and recommendations that support enterprise performance and organizational priorities. - Conduct ad hoc data mining and analyses to support business needs. Collaboration & Execution - Serve as an analytics point of contact for assigned subject areas, with guidance as needed. - Work closely with clinical, operations, finance, and product teams to define problems and deliver analytical solutions. - Execute analytics projects independently after initial direction is provided. - Seek input and feedback to ensure alignment with analytical standards and expectations. Reporting & Visualization - Develop, maintain, and enhance dashboards and automated reports using Tableau, Sigma, or similar tools. - Produce clear trend reports and performance analyses for leadership review. - Validate data outputs, troubleshoot reporting issues, and improve reporting accuracy and efficiency. Communication - Clearly communicate findings and recommendations to technical and non-technical stakeholders. - Present insights to leadership and market leaders in a clear, practical manner. - Adjust messaging based on audience and context. Other Job Functions: - Follow company policies and procedures. - Provide responsive and professional internal customer service. - Communicate clearly and effectively in written and verbal interactions. - Set and complete goals with guidance and feedback from leadership. Required Qualifications: Minimum Experience - Bachelor’s degree in Mathematics, Statistics, Public Health (MPH), or a related field. - Minimum of 4 years of experience in data science or analytics, preferably in healthcare. - Experience working with large, complex datasets and data lake environments. - Experience with claims data, CMS files, and trend analysis strongly preferred. Skills & Abilities - Strong experience with healthcare analytics methods such as episode groupers and risk stratification. - Proficiency in SQL and analytical tools such as SAS, R, or Python. - Advanced experience with Excel and data visualization tools (Tableau, Sigma, or similar). - Strong understanding of medical claims, clinical, and quality data. - Ability to manage multiple priorities and meet deadlines with guidance. - Strong analytical, statistical, and problem-solving skills. - Clear written and verbal communication skills. Location: ​ Remote - OH Pay Range: ​ $100,000.00 - $122,600.00 Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower’s Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: - Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. - Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. - Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. - Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. - Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. - Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. - Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. - Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: - Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. - 6+ years of professional data science experience. - Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. - Strong grounding in experimental design, statistical analysis, and model evaluation methodology. - Experience collaborating with engineering and product teams in an agile, iterative delivery environment. - Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. - Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment - Cloud platforms such as AWS, including managed data and ML services. - Data storage and retrieval technologies such as relational and NoSQL databases. - Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. - Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness - Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. - Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. - Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart - Experience evaluating Generative AI or LLM-based systems. - Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. - Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. - Experience translating research or experimental methods into repeatable, production-aligned workflows. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. - Medical, dental, vision and life insurance - Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup - Tuition reimbursement up to $5,250/year - Business-casual environment that includes the option to wear jeans - Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year - Paid volunteer time — 16 hours per calendar year - Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) - Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 04-03-2026 Want the latest money news and views shaping how we live, work and play? Sign up for Empower’s free newsletter and check out The Currency.

¿Estás buscando nuevos desafíos y un lugar donde puedas disfrutar de un ambiente cercano mientras aprendes constantemente? ¡Bienvenido a un equipo con un propósito claro: "TRANSFORMAR la vida de las personas siendo el aliado TECNOLÓGICO más confiable"! 🚀 ¡Prepárate y únete a esta aventura! ¿Qué encontrarás? - Retos técnicos y personales que te mantendrán en constante crecimiento.🤝 Un equipo conectado, enfocado en tu bienestar físico y mental. - Cultura de mejora continua, fresca y colaborativa, con oportunidades de aprendizaje y gente dispuesta a apoyarte. - KaizenHub, un programa diseñado para potenciar tus talentos, con feedback, mentorías y coaching a través de Sofka U. ¡Será un reto y un juego a la vez! 🧠🎮 - Programas como Happy Kaizen y WeSofka que cuidan tu bienestar físico y emocional. ¿Qué buscamos? Un Data Analyst SR con una trayectoria de 3 a 5 años que combine un dominio técnico avanzado en SQL, Python y Power BI con una visión estratégica del negocio. Unprofesional proactivo, capaz de diseñar modelos de datos complejos y automatizar procesos. En este rol, no solo analizarás datos; serás un consultor interno clave para definir la estrategia de Dataviz y asegurar que cada tablero e insight esté alineado con los objetivos estratégicos de la organización. Es una oportunidad para liderar la cultura de calidad de datos y excelencia operativa en una estructura de alto nivel. Responsabilidades - Implementar y supervisar controles de calidad de datos para asegurar la precisión, integridad y fiabilidad de los activos de información. - Crear dashboards complejos que integren múltiples fuentes de datos, proporcionando insights profundos y visualizaciones avanzadas. - Definir y ejecutar la estrategia de Delivery y Soluciones de Datos para Dataviz en colaboración con el líder del equipo. - Automatizar procesos ETL y activos con reglas de negocio para optimizar la construcción de reportes y tableros. - Actuar como mentor y consultor interno, asesorando a los analistas JR/SR en buenas prácticas, lineamientos y comunicación de insights. - Administrar flujos y almacenes de datos para las herramientas de visualización oficiales de la compañía. - Supervisar guiones de pruebas para la certificación funcional de productos de datos y dominios de información. - Proponer y ejecutar mejoras continuas en los procesos de análisis, alineando las asignaciones con los objetivos del negocio. Requisitos - Formación: Profesional en Ingeniería de Sistemas, Estadística, Matemáticas, Economía o carreras afines con enfoque analítico. - Experiencia: Entre 3 y 5 años de experiencia comprobable liderando proyectos de análisis de datos, coordinación de equipos y diseño de soluciones de visualización de datos. Conocimientos Técnicos - Dominio avanzado de SQL, Python y Spark SQL. - Experiencia amplia en Power BI y lenguaje DAX para visualizaciones complejas. - Manejo de herramientas de extracción y carga: SSIS, Stratio Rocket y Stratio Discovery. - Excel avanzado y administración de almacenes de datos. - Conocimientos en estadística aplicada y técnicas de análisis de tendencias y patrones. - Experiencia en optimización de consultas de bases de datos y modelos de datos complejos. - Familiaridad con metodologías de CoE (Centro de Excelencia) de Datos y lineamientos de gobierno. ¡PRESENTATE y sé parte de esta historia! Condiciones - Contrato a término indefinido ¡Queremos relaciones a largo plazo y que seas parte de nuestra familia por mucho tiempo! - ¿Buscas crecimiento profesional? En Sofka, te ofrecemos un ecosistema de aprendizaje con múltiples herramientas para cerrar brechas y potenciar tus habilidades. ¡Tú decides cómo quieres crecer!