
51 - 200 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Loyal is a comprehensive digital healthcare platform that integrates various touchpoints for patients and providers. Their solutions include data management, digital engagement, CRM campaigns, self-scheduling, and conversational AI, which are designed to optimize healthcare operations, improve patient engagement, and enhance care search and scheduling. Loyal focuses on making healthcare seamless by unifying provider and location data, managing reputation and directory listings, and offering robust machine learning and natural language processing capabilities to improve healthcare outcomes. The platform facilitates improved communication and retention through omni-channel engagement and feedback analysis, serving prominent healthcare organizations to streamline operations and drive better patient experiences.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $107k - $164k / year
⏰ Full Time
🟠 Senior
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51 - 200 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Loyal is a comprehensive digital healthcare platform that integrates various touchpoints for patients and providers. Their solutions include data management, digital engagement, CRM campaigns, self-scheduling, and conversational AI, which are designed to optimize healthcare operations, improve patient engagement, and enhance care search and scheduling. Loyal focuses on making healthcare seamless by unifying provider and location data, managing reputation and directory listings, and offering robust machine learning and natural language processing capabilities to improve healthcare outcomes. The platform facilitates improved communication and retention through omni-channel engagement and feedback analysis, serving prominent healthcare organizations to streamline operations and drive better patient experiences.
• Independently lead statistical design and analysis for preclinical studies, including dose-response and mortality projection modeling, aging biomarker studies, enrollment/attrition and survival modeling • Build and apply population PK/PD models to support internal dose-justification and formulation decisions • Conduct exploratory analyses for endpoint development and target/pathway discovery • Serve as statistical point of contact for preclinical studies and cross-functional R&D projects • Apply survival analysis, longitudinal/mixed-effects modeling, and simulation-based power/sample size methods • Create and contribute to internal documentation and reproducible reporting using Quarto/Rmarkdown • Support clinical biostatistics, including SAP development, regulatory strategy discussions, and drafting analysis sections • Partner with Statisticians, Clinicians, and Scientists to support CVM/FDA-ready data strategies and analysis outputs • Mentor junior statisticians • Peer-review methodology from external consultants, manuscripts, and cross-functional deliverables • Identify opportunities to improve statistical workflows, tooling, or methods across the preclinical portfolio • Report to the Statistics Manager, Research
• MS or PhD in Statistics, Biostatistics, Pharmacometrics, or a related field • 8+ years of relevant statistical experience, with a demonstrated track record operating independently on a preclinical or translational statistics portfolio • Hands-on population PK/PD modeling experience (WinNonLin, NONMEM, nlmixr2, Monolix, or equivalent) – nonlinear mixed-effects models, exposure-response analysis • Demonstrated experience in experimental design, survival/longitudinal analysis, and post-hoc statistical analysis • A track record of exploratory, hypothesis-generating analysis, with comfort sitting with ambiguous data and pushing back on poorly defined endpoints or targets • Strong attention to detail and ability to adhere to regulatory requirements • Demonstrated ability to learn new statistical methods, tools, or scientific domains independently • Strong writing and communication skills, including to non-statistical audiences • Fluency in R and/or Python; experience with Rmarkdown/Quarto or Jupyter for reproducible reporting • Fluency in AI tools (e.g., Claude code) • Nice to have: prior work in veterinary, animal health, or translational aging research; experience with data validation pipelines; exposure to regulatory-facing statistical writing (FDA/CVM/EMA); interest in growing into clinical trial biostatistics over time • Excited about working at the forefront of a new category of veterinary medicine
• Full-coverage health insurance – medical, dental and vision – for you and your dependents • $1,000 home office equipment stipend • $1,200/year learning budget for books, courses, etc. • $250/month wellness budget for gym, cleaners, spa, food, etc. • All 3-day weekends are turned into 4-day weekends • Unlimited vacation and paid holidays • Paw-ternity leave – adopt a dog and get a day off with your new family member • Competitive salary • Company equity options grant for new hires
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