The Product Operations Lead is responsible for defining product requirements, managing the backlog, and coordinating functional validation with engineering teams. They also bridge communication between stakeholders and support release readiness through documentation and performance monitoring.
The Senior Security Compliance Analyst will lead customer security audits, manage ISO 27001 compliance, and ensure adherence to HIPAA and NIST frameworks. They will also develop security policies, conduct risk assessments, and collaborate with cross-functional teams to maintain a robust security posture.
The Director of Engineering will own the tactical execution of the engineering roadmap and provide architectural guidance to ensure platform scalability. They will also manage engineering managers and tech leads while fostering a high-performing, inclusive team culture.
You will build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes. This involves developing advanced ML models and LLM-powered agents while collaborating with cross-functional teams to integrate AI into existing platforms.
The Director of Sales Strategy & Value will lead pricing, proposal development, and go-to-market strategies while partnering with sales and cross-functional teams. They are responsible for conducting value analyses and managing the end-to-end contract development process to support business growth.
You will manage and maintain the Salesforce instance, including Marketing Cloud and Pardot, while driving custom programmatic enhancements and complex data connectivity. Additionally, you will oversee platform governance, data integrity, and the design of scalable solutions to support cross-functional business needs.
Manage 1-2 large strategic accounts by driving growth, identifying cross-sell opportunities, and maintaining stakeholder relationships. Develop and execute comprehensive sales strategies while delivering product demonstrations to prospective clients.
The Senior Data Scientist will develop statistical models and machine learning algorithms to optimize patient enrollment and clinical trial management. They will also build scalable data pipelines and ensure all analytical practices comply with healthcare privacy regulations like HIPAA and GDPR.
