Biostatistician - Health

Washington DC, District of Columbia, United States Hardware

At Apple, we build technology that helps people understand their health and act on it. The Health & Fitness team designs and executes the clinical research behind features that reach hundreds of millions of people — atrial fibrillation detection, hypertension, sleep apnea, and the next generation of health sensing. We are looking for a Biostatistician who wants their statistical work to end up in someone's pocket rather than only in a journal.

In this role, you own the statistical strategy and execution for studies end-to-end: you help shape the questions, help design the studies that can answer them, defend the analyses to regulators, and translate the results for engineers, clinicians, and product teams. You will work with engineering study leads, clinical scientists, regulatory affairs, and external principal investigators. This is a role for someone who is equally comfortable arguing about an endpoint definition with a cardiologist and about a data pipeline with an engineer.

If you care about scientific integrity, and about doing rigorous work at a scale very few organizations can offer, we would like to hear from you.

You will serve as the statistical DRI for clinical studies within Apple Health, partnering closely with engineering study leads and clinical scientists to take features from concept through clinical validation and submission. You are accountable for the statistical rigor of study design, analysis, and reporting, and for the integrity of the data that supports our health claims. You will also help build the durable processes — data strategy, study templates, analysis standards — that let the team move faster on every study that follows.

• Serve as the statistical DRI for clinical validation studies, coordinating with Clinical Scientists through every project gate.
• Design studies and author the statistical components of Clinical Investigation Plans, Statistical Analysis Plans, and Clinical Study Reports.
• Plan supplemental data collection so that a single study can support future work — for example, layering additional sensor data collection into an in-flight study to enable a downstream feature.
• Coordinate with Regulatory, Marketing, Product, and other cross-functional stakeholders throughout project gates, ensuring statistical validity of claims and product messaging remains aligned and defensible.
• Safeguard scientific integrity throughout study execution including blinding, pre-specification of analyses, handling of missing data, and control of multiplicity.
• Develop a deep understanding of existing datasets to translate clinical questions into appropriate statistical assessments.
• Lead strategic initiatives that raise the team's baseline: reusable study/analysis templates and GCP-aligned statistical practice.
• Communicate results through internal and external study reports and associated regulatory submissions and review.

• PhD or Master's degree in biostatistics, statistics, biomedical engineering, epidemiology, public health, or a closely related quantitative field.
• Working proficiency in a statistical programming language such as R, Python, or SAS, including experience working with or building statistical infrastructure or standards (i.e. reproducible analysis pipelines, validated programs, or reusable analysis functions or templates).
• Demonstrated experience authoring clinical study documentation including statistical analysis plans and clinical study reports.
• Familiarity with strengths and limitations of frequentist and Bayesian methods, adaptive designs, or real-world evidence approaches.
• Practical knowledge of GCP and the regulatory framework governing clinical…