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Salary: USD 175,000 - 223,000 / annual
Vivodyne is a biotech company that creates human data before clinical trials by testing on large, lab-grown human organ tissues at scale. The company uses novel biology, robotics, and AI to accelerate the discovery, design, and development of human therapeutics, partnering with top multinational pharmaceutical companies.
You will lead the operational delivery of complex client programs across Vivodyne's scientific, technical, and commercial teams. You'll serve as a primary internal coordinator and client-facing program lead for assigned accounts, translating work plans into executable schedules, maintaining clear communication, surfacing risks early, and ensuring delivery commitments remain visible.
Key responsibilities include:
**Client Engagement & Delivery**: Own end-to-end delivery for a portfolio of complex client programs, accountable for scope, timelines, budget, and client commitments from kickoff through execution, data delivery, and closeout. Act as the consistent client-facing program lead for assigned accounts, establishing communication cadence and raising risks early. Lead client kickoff and delivery planning to ensure alignment before execution. Coordinate data and documentation delivery, including technical reports, assay documentation, data packages, and presentations.
**Internal Stakeholder Alignment & Resource Management**: Build and maintain integrated program plans covering milestones, dependencies, study schedules, resources, owners, risks, and delivery dates. Coordinate cross-functional execution across biology, operations, microfabrication, hardware/software, data analysis, business development, and leadership. Manage scope, capacity, and schedule trade-offs by identifying constraints and facilitating decisions. Run portfolio-level delivery operating rhythms including weekly reviews and leadership updates. Maintain a reliable system for program and portfolio management.
**Strategy & Operational Excellence**: Coordinate internal R&D and tissue roadmap execution in partnership with biology and product leads. Partner with BD and leadership on feasibility, resourcing, pricing, and delivery planning for prospective and expanding client work. Improve delivery processes and knowledge transfer by documenting repeatable workflows and creating training materials. Lead and champion program management best practices across teams.
Success means client programs are delivered against agreed scope, timelines, and budget; clients have clear visibility into milestones and deliverables; internal teams understand the scientific and commercial context of their work; risks and dependencies are identified early; program plans reflect actual operational capacity; data and materials are delivered predictably; and program knowledge is well-documented.
**Requirements**: 5+ years of experience leading complex, cross-functional programs in biotech, pharma, life sciences, CRO/CDMO, healthcare technology, or similarly technical client-delivery environment. Strong client-facing communication skills, including ability to manage senior external stakeholders and communicate schedule changes, risks, and trade-offs clearly. Demonstrated ability to develop and maintain detailed project plans, milestones, dependencies, resourcing views, and operating cadences. Proven track record of driving complex programs through execution and delivery, managing scope, timelines, budgets, risks, and competing priorities. Comfort working with scientific teams and technical subject matter without needing to be the scientific owner. Experience coordinating and managing deliverables such as study plans, work plans, technical reports, presentations, data packages, and client communications. Strong organizational and program-management systems skills; experience with ClickUp or comparable project-management tools preferred. Sound judgment under ambiguity and ability to move work forward across competing priorities. Polished written and verbal communication skills for both technical and executive audiences.
**Preferred Qualifications**: Prior experience working with biotech R&D, computational biology, or AI-enabled scientific programs. Experience scaling operational processes in a fast-growth startup or similarly dynamic environment.
