Statistician, Research

About Loyal

Loyal is a clinical-stage veterinary medicine company developing drugs intended to extend the lifespan and healthspan of dogs. Our mission is to help dogs live longer, healthier lives.

We’ve already achieved significant milestones on our path to earning FDA approval for the first lifespan extension drug for any species. We have three products in our pipeline and are on track for FDA conditional approval within the next year.

Loyal is a well-funded startup in growth mode. Our team includes scientists, veterinarians, engineers, operators, and creatives. This role will play a key role in supporting our growth strategies.

About the role

We’re seeking an experienced Statistician to Leverage varied statistical experience to analyze and present results from both laboratory clinical trials and clinical observational studies. Emphasis on statistical inference, performing sample size and power calculations, regulatory submission, and manuscript writing.

You will be reporting to our Statistics Manager, Research.

Your daily work will include:

• Working closely with senior statisticians, biologists, and clinicians to perform statistical analyses for preclinical and clinical investigations
• Supporting experimental design using simulation- and equation-based power and sample size analyses
• Applying a variety of statistical analysis techniques to our studies, including GLMs, survival analysis, longitudinal/mixed effects modeling
• Contributing to documentation that is sent to regulatory agencies, including study protocols, study reports, statistical analysis plans and data package documentation
• Collaborating with data engineers and laboratory and clinical research teams to advise on data collection and database infrastructure 
• Sharing scientific results for internal meetings/presentations, manuscripts, or poster sessions and conference presentations
• Assisting in endpoint and/or assay development through exploratory data analysis and modeling.
• As the team grows, contributing to the mentorship and training of more junior bioinformaticians and supporting best practices in analysis and reproducibility

About you

• MS in statistics, biostatistics, or a related field
• 4+ years of industry experience with statistical analyses in a biotech or pharmaceutical setting
• Proficient programming skills (R, python) and version control (git) 
• Experience developing reproducible analysis workflows and documentation (e.g., quarto or Jupyter notebooks)
• Strong written and verbal scientific communication skills
• Demonstrated interest in aging biology, longevity science, or age-related disease
• Familiarity with Google Workspace applications (e.g., Sheets, Slides, etc.

Salary range: $90,000 - $125,000

Loyal 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

Loyal is founded and led by a first-gen female CEO and is proud to be an equal opportunity employer. We do not discriminate against applicants based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. 

Our values

Lean into moonshots

We don’t settle for incremental change. We have the bravery to take risks and shoot for the impact we want to have.

Opportunity is at the intersection

We lean into combining disciplines, expertises, and perspectives not normally adjacent. We design our organization to facilitate cross-pollination and cross-collaboration. We reject silos.

Expertise without ego

Titles do not determine who has a voice. We work on hard technical problems and have a ton of fun while at it.

Learning by doing

Our path is novel and many things we are doing have never been done before. We lean into MVPs and are open to unexpected outcomes.

Lead with context

We value leading with context. We equip people with the context and background necessary to make their own decisions and act in the best interest of Loyal. We empower teams to succeed.

Empathy and respect for all life

Our patients are not just numbers. Our work is intentional, thoughtful, and guided by respect for life. We take our responsibility to pets and pet parents seriously.