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Open nowPosted yesterday

Senior Biostatistician

Verily70 open roles

Where
Dallas Texas
Work mode
Hybrid
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Your applicationOpen nowSenior BiostatisticianVerily · Dallas Texas

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Verily postings stay open a median of 33 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted yesterday

Verily median: 33 days open

The posting

Who We Are

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.

Description

The Senior Biostatistician provides statistical and study design leadership across the product lifecycle, from feasibility and preclinical evaluation through clinical validation and post-market monitoring. This role partners cross-functionally with medical, product, engineering, data science, regulatory, and operations teams to define study objectives, estimands, analysis strategies, and decision criteria using diverse data sources. The Senior Biostatistician identifies risks to scientific integrity, bias, generalizability, regulatory interpretation, and product decision-making, and recommends practical approaches that balance rigor, feasibility, and timelines.

Responsibilities

  • Leads statistical design and analysis across the entire product lifecycle, from early stage feasibility through validation and post-market activities.
  • Partners with cross-functional teams to translate scientific and product questions into clear objectives, estimands, analysis plans, and decision criteria.
  • Analyzes clinical, experimental, observational, real-world, and operational datasets to generate interpretable evidence.
  • Evaluates data quality, bias, missingness, generalizability, model performance, and other factors that affect study interpretation.
  • Communicates study designs, assumptions, results, limitations, and recommendations to cross-functional audiences, including clinical, product, engineering, regulatory, and leadership stakeholders, through protocols, reports, presentations, dashboards, and cross-functional discussions.

Qualifications

Minimum Qualifications

  • Master’s degree or higher in biostatistics, statistics, epidemiology, data science, bioinformatics, biomedical informatics, or a related quantitative field.
  • 5+ years of experience applying statistical methods to clinical, biomedical, health technology, medical device, pharmaceutical, diagnostics, or life sciences research.
  • Demonstrated expertise in designing and analyzing observational studies, interventional clinical studies, and real-world data studies that support evidence generation or product decision-making.
  • Experience programming in R and/or Python for analysis of complex life science, biomedical or healthcare datasets.

Preferred Qualifications

  • Experience with a range of evidence generation including diagnostics, devices, digital health, or AI/ML-enabled clinical products
  • Experience working with products in a health-regulated environment (e.g. submissions involving the FDA or other health authorities).
  • Experience working with diverse healthcare data sources, including EHR, claims, registry, device-generated, sensor, imaging, laboratory, or patient-reported data.
  • Hands-on experience generating evidence from digital product data as a primary data source, including handling missingness, measurement error, and analytic approaches specific to continuous digital measures
  • Experience developing study protocols, statistical analysis plans, technical reports, and publication-ready analyses.
  • Experience with Bayesian methods, adaptive trial designs, or causal inference methods for observational/RWD studies
  • Experience using reproducible research workflows, version control systems such as Git, and modern coding tools, including AI-assisted development tools where appropriate.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

The US base salary range for this full-time position is $130,000 - $196,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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