The Consultant supports the delivery of GxP consulting services by assisting with audits, assessments, and compliance initiatives for clinical research projects. They collaborate with senior team members to prepare documentation, conduct mock inspections, and ensure project deliverables meet client expectations.
The Sr Coordinator, Client Experience manages client relationships by facilitating smooth onboarding and ensuring ongoing satisfaction through proactive communication. They act as a liaison between internal teams and clients to resolve issues and track quality metrics to improve service delivery.
The Training Specialist facilitates professional training events for customers and internal employees on Advarra software. They are also responsible for creating and maintaining training materials, documentation, and eLearning modules.
Manage and grow client relationships to drive revenue growth and ensure client satisfaction within the eClinical industry. Develop annual business plans and execute strategies to penetrate pharmaceutical, biotechnology, and medical device companies.
Lead customer-facing product implementations and internal organizational initiatives to ensure timely completion and alignment with company goals. Coordinate cross-functional teams, manage project risks, and drive data migration and process improvement activities.
The specialist serves as a subject matter expert translating organizational needs into optimized workflows for clinical research software applications. They manage the implementation process for new customers, including mapping future-state workflows and coordinating with internal teams for Statements of Work.
The Inside Sales Account Manager is responsible for driving revenue by prospecting and closing sales of Advarra products to sponsors and healthcare systems. This includes managing the full sales pipeline from initial discovery through contract signature and maintaining long-term client relationships.
Design and manage global compensation programs, policies, and frameworks to ensure competitiveness and equity across multiple regions. Lead global compensation cycles, including merit and bonus processes, while providing data-driven insights for executive decision-making.
The Contracts Manager leads legal negotiations with customers and vendors to bring commercial deals to a favorable close. They are responsible for drafting and managing a variety of agreements, including SaaS subscriptions, data privacy, and consulting services.
The Contracts Manager leads legal negotiations with customers and vendors to bring deals to a favorable close. Responsibilities include drafting various commercial agreements, managing the contracting process, and ensuring contract compliance.
Provide technical support and troubleshooting for the Advarra product suite via email, chat, and ticketing systems. Act as a liaison between customers and product teams to advocate for software enhancements and resolve complex issues.
The Sr Coordinator serves as the primary point of contact for pharmaceutical companies and CROs to facilitate IRB reviews. They manage day-to-day account relationships and ensure the accurate processing of protocol and site submissions.
The role supports the Analytics and Reporting team by delivering dashboards, reporting, and data-driven insights. Responsibilities include optimizing data structures, leading data modeling efforts, and collaborating with product management to capture business requirements.
The specialist will provide technical support for Advarra's product suite, troubleshooting customer issues via email, tickets, and meetings. They will act as a liaison between customers and internal teams to ensure timely resolution of queries and maintain support documentation.
The Client Services Coordinator I manages administrative submissions and serves as the primary point of contact for sponsors and site personnel. They ensure high accuracy in documentation and provide proactive support to the operations team.
The AI Data Scientist will optimize, evaluate, and operationalize advanced machine learning models, specifically focusing on fine-tuning large language models (LLMs) for clinical research applications. They will collaborate with cross-functional teams to build scalable, model-driven solutions and implement retrieval-augmented generation (RAG) systems.
