Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.
Role SummaryThe Senior Clinical Study Manager plans, monitors, and executes the clinical research trials and pilots that demonstrate the real-world impact of Viz.ai's AI-enabled care pathways, with a particular focus on Life Sciences partnerships and health system pilots. The role is accountable for sponsor oversight of sites in accordance with GCP, applicable regulations, and project requirements. As Study Clinical Study Manager, you provide study management leadership to deliver each study's objectives to the satisfaction of the Study Sponsor (or Strategic Clinical Partner) per contract, while optimizing speed, quality, and cost and following our Standard Operating Procedures (SOPs), policies, and practices. You will work closely with the Evidence Generation and Clinical team and with functions across Viz, resolve issues, make decisions, and escalate appropriately, and you will take on increasing responsibility to lead specific activities within the Evidence Generation team.
Key ResponsibilitiesStudy Execution
Oversee the execution of start-up, maintenance/operations, and close-out for assigned research projects in accordance with the Scope of Work and Project Plan.
Manage the operational aspects of projects to achieve quality data and efficient enrollment that meet contractual requirements.
Complete assigned activities to ensure appropriate sponsor oversight of sites in accordance with GCP, regulations, and project requirements.
Lead assigned study program activities, delivering to timeline, quality, and budget expectations.
Planning and Systems
Develop and maintain clinical project plans, including the Clinical Operations Plan and Regulatory Start-Up Management Plan, to be incorporated into the integrated study management plan/project management plan.
Ensure accurate maintenance of internal systems (with emphasis on the Clinical Trial Management System), databases, tracking tools, timelines, and project plans with project-specific information.
Organize study documents so they are easy to locate, and deliver status reports.
Collaboration and Team Contribution
Collaborate with Clinical and cross-functional partners (Product, Life Sciences, Legal, Finance) to keep studies on schedule.
Maintain clear communication and provide status updates for the
Resolve issues, make decisions within your scope, and escalate appropriately.
Train and inform colleagues about study management and share best practices.
Qualifications and ExperienceRequired
At least 6 years of clinical research experience, preferably in the medical device and/or SaaS sector.
Bachelor's degree in a scientific discipline or educational equivalent; other qualifications considered.
Competent knowledge of clinical study project management practices and terminology.
Proven ability to work through others to deliver results to quality and timeline metrics, including monitoring performance and providing feedback.
Available to travel as needed (up to 30%) and able to manage travel plans.
Preferred
Knowledge of FDA regulations and Good Clinical Practice (GCP).
Key CompetenciesClinical study execution
Project planning and timeline management
Cross-functional collaboration
Managing competing priorities
Comfort operating in a fast-moving, pipeline-driven environment
Commitment to quality and patient safety
Success MetricsTime from site selection to activation
Number of sites activated against plan
Enrollment against target
Data quality and on-time, high-quality execution of assigned projects
Documented improvement in the Viz clinical study management process within 90 days, evidenced by increased site activations and enrollments on industry and strategic partnership projects
This role offers an opportunity to contribute to evidence programs that integrate clinical and product research, advance patient outcomes, and strengthen Viz.ai's leadership in healthcare innovation.
Why should you join us?If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day.
If you want to be a part of an amazing team , our people are the heart of everything we do.
If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.
We are a remote-first company across the U.S. and EU, with a team in Tel Aviv operating in a flexible hybrid model, conveniently located near a train line.
Viz.ai is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided.
In the U.S., Viz offers competitive benefits, including medical, dental, vision, 401(k), generous vacation, and additional benefits to full-time employees. Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis prohibited by federal, state, or local law.
Employees in Israel are offered a comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more.
If you’re applying for a position in San Francisco, please review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
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