Top Remote Jobs in Dallas, TX

The Senior Analyst/Biostatistician will conduct advanced statistical analyses, lead research study designs, and provide expert consultation to internal and external clients to address public health issues. The role also involves mentoring junior analysts and supporting business development efforts.

The Industrial Decarbonization Engineer will lead advisory engagements in carbon management, developing recommendations for carbon reduction projects. Responsibilities include advising clients, conducting project reviews, leading the planning and delivery of services, and engaging with industry stakeholders. The role requires continuous improvement and knowledge of emerging decarbonization technologies.

The Staff Software Engineer will lead the development of frontend architectural strategies, drive architectural decisions, mentor team members, and manage complex projects. They will collaborate with engineering teams to enhance productivity and cultivate a positive working environment focused on delivering high-quality software solutions.

The Investor Reporting Analyst will assist in daily operations of the Investor Reporting Team, focusing on reporting and remitting to investors such as Fannie Mae and Freddie Mac. Responsibilities include reconciliation, process improvement, collaboration with cross-functional teams, and supporting audits. The role requires attention to detail and a strong work ethic.

The VP of Field Service and Implementation oversees field service operations and implementation in hospitals, ensuring operational efficiency and customer satisfaction. The role involves leading teams, managing budgets, developing strategies for service delivery, and improving processes. It requires exceptional communication skills and a focus on operational excellence.

The Salesforce Lead will manage and streamline operational processes in Novidea, a core back office system built on Salesforce. Responsibilities include overseeing projects, developing automations using Apex, Flows, and Orchestrations, collaborating with operations teams, and ensuring error-free customizations.

As a Senior Technical Product Manager, you will oversee the development of products and processes for evaluating machine learning models, ensuring quality, accuracy, and ethical implementation. You will manage QA strategies, data quality, and automate testing frameworks while collaborating closely with engineering teams to improve model performance and report findings.