Xaira Therapeutics
Senior Director, Clinical Operations
$250K–$311K
South San Francisco, California, United States · Director · Full-time · Posted Oct 1, 2026
- Experience
- At least 15 years of clinical operations experience and at least 7 years of direct line management experience.
- Education
- Bachelor’s degree in a scientific or health-related discipline required; an advanced degree is preferred but not required.
About the job
Establish and lead Xaira’s clinical operations function, overseeing operational strategy and end-to-end delivery of clinical studies as its first programs enter the clinic.
What you'll do
- Build the clinical operations operating model, team, processes, systems, governance, and budget.
- Lead study delivery from start-up through database lock and clinical study report, managing timelines, enrollment, cost, quality, and risk.
- Oversee CROs and specialist vendors, ensure compliance and inspection readiness, and partner with science and data teams on clinical data, systems, analytics, and AI-enabled execution.
What they ask for
- Bachelor’s degree in a scientific or health-related discipline.
- At least 15 years of clinical operations experience in biotechnology, pharmaceuticals, or a CRO, including end-to-end study leadership.
- At least 7 years of direct line management experience, including hiring, staff development, and performance management.
- Experience leading early-phase studies including first-in-human, accountability for at least one study from start-up through database lock, and oncology studies in biomarker-defined or narrowly defined populations.
Nice to have
- Experience at a company conducting its first clinical trials or establishing a clinical operations function.
- Experience with protein or antibody therapeutics, precision medicine or biomarker-enriched studies, global studies, clinical systems implementation, AI or analytics, or health authority inspections.
Pay
$250,000 - $311,000 annually (base salary)
Tools
ICH GCP, EDC, CTMS, eTMF, IRT, eCOA
AI focus
Apply analytics, automation, and AI-enabled tools to improve trial feasibility, site selection, enrollment forecasting, monitoring, and risk identification; evaluate model-informed design and digital endpoints for practical value.
Model-written summary · the original posting is authoritative