Fullscript
Jobs at Similar Companies
Jobs at Fullscript
Search the 6 jobs at Fullscript
Recently posted jobs
The Senior Data Analytics Engineer will build the data platform that supports decision-making and provides insights through analytics and metrics. Responsibilities include developing an Enterprise Data Warehouse, writing ELT data transformation code, mentoring junior team members, and maintaining data quality and documentation.
The Marketing Automation Manager will oversee the implementation and innovation of marketing automation tools, manage automated marketing campaigns, and collaborate across departments. Responsibilities also include analyzing campaign performance, maintaining a marketing database, and ensuring compliance with data privacy regulations.
As a DevOps Engineer at Fullscript, you will enhance developer experience, optimize the code delivery pipeline, be involved in decision-making for service selections, and help scale operations infrastructure securely. You will be part of a team focused on continuous improvement and technical excellence.
As a Senior Mobile Product Designer, you will lead the growth of the mobile design system, collaborate with cross-functional teams, and create user-centered design solutions for iOS and Android. You'll produce guidelines, support mobile projects, and advocate for usability and accessibility while using Figma to enhance the design system.
As a Technical Lead on the Discovery Engineering team, you'll drive architectural decisions, manage a team of full-stack engineers, and enhance product discovery for healthcare practitioners and patients. You'll lead design discussions, plan project roadmaps, and contribute to code development while ensuring technical health and security of applications.
As a Lead Machine Learning Engineer at Fullscript, you will design and implement machine learning models to enhance the integrative care platform, collaborating with Data, Engineering, and Product teams to drive value for practitioners and patients. Your role involves developing ML infrastructure and identifying opportunities for AI/ML applications in healthcare.
