Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The Senior Scientist will lead collaborations with biomedical partners to develop and implement pharmacometric strategies. Responsibilities include creating population PK/PD models, performing Monte-Carlo simulations, and producing technical reports, contributing to the advancement of drug development through data-driven decision making.

The Data Architect will design, develop, and maintain data architecture and infrastructure, ensuring data integrity, security, and accessibility. Responsibilities include creating data models, overseeing data integration, establishing data governance, and optimizing data systems for performance. This role requires collaboration with teams and leadership in data transformation initiatives.

The Senior Data Scientist at Constellation will develop innovative data science solutions, explore complex datasets, build advanced ML models, and mentor junior team members. Responsibilities include translating business requirements into actionable data science strategies, collaborating with cross-functional teams, and managing data visualization, ETL processes, and code repositories.

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.