• Perform detailed data entry, validation, and analysis for EHRM readiness assessments and related datasets, including healthcare engineering and facilities programs priorities and considerations. • Maintain and manage SharePoint-based data systems and repositories. • Develop dashboards, reports, and visualizations to support program tracking and executive reporting. • Ensure data integrity through rigorous validation and quality assurance processes. • Support stakeholder engagement through development of presentations and data-driven insights.

• Design, develop, and maintain advanced analytics solutions, including predictive models and Generative AI applications, using SQL, Python, and modern AI and BI tools • Translate business problems into data-driven and AI-enabled solutions • Responsible for end-to-end delivery of analytics and AI initiatives, from data exploration and feature engineering to model development, deployment, and ongoing optimization • Design and engineer features from diverse data sources, including first-party and third-party data, to improve model accuracy and business relevance • Operationalize models using robust MLOps practices, including deployment pipelines, automated scoring, version control, and scalable data integrations • Define, monitor, and continuously improve model performance using appropriate metrics, including validation frameworks, drift detection, and retraining strategies • Translate model outputs into scalable, user-friendly analytics products and dashboards (e.g., segmentation, propensity scores, next best product recommendations) for end-user consumption • Design and evaluate experiments, including A B testing, to measure model effectiveness and quantify business impact • Integrate AI, machine learning, and Generative AI capabilities into analytics workflows and product solutions • Champion the adoption of Generative AI across teams by identifying and implementing use cases that improve productivity, insight generation, and client value • Explore and implement solutions leveraging LLMs, prompt engineering, and AI-assisted analytics • Educate and enable internal teams on AI and Generative AI best practices through documentation, training, and reusable frameworks • Collaborate with Product, Engineering, and Services teams to evolve the Analytics Edge and AI roadmap • Troubleshoot complex data, model, and system issues, identifying root causes and implementing scalable solutions • Communicate insights, risks, and progress clearly to stakeholders, including both technical and non-technical audiences • Create and maintain comprehensive technical documentation for data models, AI workflows, and processes • Participate in Agile and Scrum ceremonies and contribute to continuous improvement of team processes • Support client-facing discussions, demos, and training sessions as needed

Join the Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, we’ve united two industry leaders to create an optical networking powerhouse—combining cutting-edge technology with proven leadership to redefine the future of connectivity.

Labcorp is seeking a remote Clinical Data Risk & Solutions Analyst (Global Monitor) to join our team in United Kingdom. Job Responsibilities: - Accountable for the monitoring and reporting of clinical study laboratory metrics. - Ability to extract information from multiple data sources, converting the raw data into meaningful and actionable insights, and presenting key findings to all stakeholders (internal and external). - Performing risk assessments on low complexity studies in coordination with the Global Study Manager and the Study Design Lead prior to study start and proposing monitoring solutions to mitigate the identified risks. - Utilizing analytics/visualizations to review study laboratory data for your assigned studies to identify issues and to ensure risks are proactively addressed. - Liaise with Developers to ensure development of monitoring tools are completed to the client’s specifications - Ensure regular communication with your key stakeholders. - Support Risk Management Plan creation and ongoing maintenance through monitoring and analysis - Participate actively to Labcorp development through continuous process improvements. - Be able to act efficiently in an environment with dynamic timelines and priorities. - Participate in functional meetings and provide input, keeping processes up to date. - Comply with internal strategy. - Support a culture of continuous improvement, quality and productivity. Minimum Qualifications: - University degree in science - 3 or more years of experience in clinical project management or clinical data analysis - 1 or more years of experience in the life science, healthcare or pharmaceutical industry Preferred Qualifications: - ​PhD degree in science - 3 or more years of experience in Excel - 1 or more years of experience in client management Additional Job Standards: - Fluency in English - Curious, data driven analytical thinker - High quality standards, attention to detail - Strong motivation, flexibility and creativity - Big picture thinker who suggests changes to process, identifies risks and potential opportunities for data improvement - Strong problem-solving and customer service skills - Comfort with ambiguity and fast switching across studies/portfolios as priorities change - Able to operate with minimal guidance while owning deliverables end-to-end - Proven ability to effectively communicate ideas/concepts and to motivate/influence others to accomplish challenging shared goals and objectives. - Dedication for learning and self-improvement - Robust self-organization; at-ease with managing conflicting priorities - Ability to create and motivate a team around project deliverables Labcorp manages one of the largest networks of clinical laboratories in the world. In the Clinical Data Risk & Solutions Analyst (Global Monitor) role, you will be assigned a portfolio of clinical studies. When a new study starts, the Global Monitor works with the internal teams to identify study risks and develop mitigation plans. Global Monitors also look for issues in the study data and suggest actions internally and/or externally to rectify and prevent those issues and maintain study health. Additionally, you will be responsible for putting in place customized, study specific monitoring packages for studies based on study needs or in which clients are requesting additional oversight by Labcorp to ensure all their samples will be processed correctly. To do this, you will need to understand which laboratory samples are at risk for not being resulted on time, to choose which of our monitoring offerings is best suited for the study needs, and then to write clear monitoring instructions that will be handed off to another part of the team. Overall, the Global Monitor must be in compliance with the CCLS Global Project Management strategy and deliver outstanding performance and customer satisfaction. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.