[Hiring] Senior Statistician @Loyal

Role Description

We're seeking a Senior Statistician to join the Stats & Data Science team at Loyal, taking independent ownership of our preclinical statistical portfolio:

• Study design and power analysis
• Aging biomarker analytics
• Efficacy, target discovery, and dose and mortality modeling

Your work will directly support drug development decisions and the scientific foundation behind Loyal's path to FDA CVM approval for the first lifespan extension medicine for any species.

This role requires more than executing pre-specified analyses. You'll need to think critically about the data itself:

• Questioning whether an endpoint is well-defined
• Assessing whether a proposed target holds up statistically
• Exploring open-ended questions where the right method isn't obvious

Omics is one such exploratory area we're looking to build out, using differential abundance and pathway-level analysis to facilitate target and pathway discovery.

This is a role for someone senior enough to operate independently:

• Leading preclinical statistical strategy and analysis end-to-end
• Serving as the statistical point of contact for R&D programs

You will be reporting to our Statistics Manager, Research.

Your daily work will include:

• Independently leading statistical design and analysis for preclinical studies
• Building and applying population PK/PD models
• Conducting exploratory analyses to support endpoint development and target/pathway discovery
• Serving as statistical point of contact for preclinical studies and cross-functional R&D projects
• Applying survival analysis, longitudinal/mixed-effects modeling, and simulation-based power/sample size methods
• Creating and contributing to internal documentation and reproducible reporting (Quarto/Rmarkdown)
• Supporting clinical biostatistics
• Cross-functional relationships – partnering with Statisticians, Clinicians, and Scientists
• Mentoring junior statisticians on the team
• Peer-reviewing methodology from external consultants, manuscripts, and cross-functional deliverables
• Identifying opportunities to improve statistical workflows, tooling, or methods

Qualifications

• MS or PhD in Statistics, Biostatistics, Pharmacometrics, or a related field
• 8+ years of relevant statistical experience
• Hands-on population PK/PD modeling experience
• Demonstrated experience in experimental design, survival/longitudinal analysis, and post-hoc statistical analysis
• A track record of exploratory, hypothesis-generating analysis
• 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
• Fluency in R and/or Python; experience with Rmarkdown/Quarto or Jupyter
• Fluency in AI tools (e.g., Claude code)

Requirements

• 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

Benefits

• 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