Scientist, Clinical Development

Responsibilities

• Run Kingdom's pet clinical study program end-to-end: Design and execute canine and feline studies: literature review, population and biomarker selection, SOP writing, statistical analysis planning, data processing and vetting, and internal and external reporting
• Evaluate operational strategy for pet studies, including evaluation of internal capabilities vs. external partners
• Evaluate new CRO partners from a technical perspective, serve as the primary technical contact with pet CROs, and make CRO recommendations to the team for relevant studies
• Expand pet clinical strategy across additional CROs and a broader range of study types
• Translate science into evidence and customer-facing materials: Lead peer-reviewed scientific publications for our pet ingredient programs (Superculture® Pet Oral, Superculture® Pet Immune, and future pet ingredients)
• Generate commercial-grade materials for the GTM team from the primary technical reporting, sharp enough to hold up in front of customers
• Build and deploy LLM-tooling: Build and maintain pet-specific LLM-tools across literature review, study design, statistical analysis, and scientific reporting
• Connect tools into a single, end-to-end pet clinical pipeline, with intermediate handoffs eliminated and technical oversight and quality preserved
• Contribute to Kingdom's broader AI infrastructure for clinical science, alongside other scientists on the team

Qualifications

• PhD (or equivalent depth) in a life-sciences field, 0-3 years post-graduate
• Strong statistics and quantitative methods
• Advanced coding literacy in R, Python, or equivalent
• Direct experience designing and running clinical studies is a strong plus
• AI-native: daily Claude Code use or equivalent, prompt fluency, comfort rebuilding research cadence around agentic tools, with experience building tooling around scientific work
• High agency: self-starter who identifies pain points, proposes a plan and solution, and drives their own learning
• Scientific judgment under ambiguity: makes defensible tradeoff calls grounded in first-principles reasoning
• Clear and effective written and verbal communication