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Verily
Verily
1,001 – 5,000 Employees
H1B Visa SponsorArtificial IntelligenceConsultingHealthcare
Verily is an AI-native precision health company working across healthcare, clinical research, and artificial intelligence. Its software and models support more predictive and personalized care through tools such as Verily Me, clinician workflows, and care solutions that help engage members and guide health goals. Verily also develops research products that organize and standardize multimodal clinical and real-world data in FHIR-native formats, helping teams advance clinical trials and generate insights. The company builds with a focus on clinical and regulatory safety, including for AI-enabled care and research workflows.
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Senior Biostatistician – Clinical Research

Lead statistical study design and analysis for Verily’s AI-enabled precision health products. Generate clinical and real-world evidence throughout the product lifecycle.

USUnited StatesCACaliforniaMAMassachusettsNCNorth CarolinaTXTexas
$130,000 – $196,000 / year
HybridFull-timeSeniorEnglish RequiredClinical Research
Python

Description

  • Provide statistical and study-design leadership from feasibility and preclinical assessment through clinical validation and post-market monitoring
  • Direct statistical planning and analysis across each stage of the product lifecycle
  • Collaborate with medical, product, engineering, data science, regulatory, and operations teams to establish study objectives, estimands, analytical strategies, and decision criteria
  • Analyze clinical, experimental, observational, real-world, and operational data to produce clear, interpretable evidence
  • Assess data quality, bias, missingness, generalizability, model performance, and other factors that influence study conclusions
  • Present study designs, assumptions, findings, limitations, and recommendations in protocols, reports, presentations, dashboards, and cross-functional forums
  • Flag threats to scientific integrity, generalizability, regulatory interpretation, and product decisions while recommending practical approaches that balance rigor, feasibility, and timelines

Requirements

  • Master’s degree or higher in biostatistics, statistics, epidemiology, data science, bioinformatics, biomedical informatics, or a related quantitative discipline
  • At least five years applying statistical methods to clinical, biomedical, health technology, medical device, pharmaceutical, diagnostics, or life sciences research
  • Proven ability to design and analyze observational studies, interventional clinical studies, and real-world data studies for evidence generation or product decisions
  • Proficiency in R and/or Python for analyzing complex life sciences, biomedical, or healthcare datasets
  • Experience generating evidence for diagnostics, medical devices, digital health, or AI/ML-enabled clinical products
  • Background working with products in regulated healthcare settings, including submissions to the FDA or other health authorities
  • Experience using varied healthcare data sources such as EHRs, claims, registries, device-generated data, sensors, imaging, laboratory results, or patient-reported outcomes
  • Practical experience using digital product data as a primary evidence source, including addressing missingness, measurement error, and methods suited to continuous digital measures
  • Experience writing study protocols, statistical analysis plans, technical reports, and publication-ready analyses
  • Knowledge of Bayesian methods, adaptive trial designs, or causal inference for observational and real-world data studies
  • Experience with reproducible research practices, Git or comparable version control, and modern coding tools, including AI-assisted development tools when appropriate
  • Must be authorized to work in the United States without requiring employer-sponsored work authorization now or in the future

Benefits

  • Bonus opportunity
  • Equity compensation
  • Employee benefits

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