Clinical Data Specialist (AI)

Location: Remote in the United States or Canada

Company

hirify.global is building an AI-powered health platform that combines laboratory testing, medical imaging, longitudinal data, and clinical guidance to provide continuous insight into human health.

What you will do

• Design and own statistical analysis plans for validating machine learning models, including cohorts, endpoints, metrics, and subgroup analyses.
• Evaluate model performance, calibration, uncertainty, sensitivity, robustness, and reliability using rigorous statistical methods.
• Lead bias, fairness, and subgroup analyses across demographic and clinical populations.
• Partner with machine learning scientists, engineers, data specialists, and clinicians on cross-validation, temporal validation, and external validation strategies.
• Analyze longitudinal health data, including progression patterns, missingness, censoring, and time-dependent effects.
• Document assumptions, limitations, and findings for interpretability, auditability, and regulatory readiness.

Requirements

• 3+ years of experience in biostatistics, applied statistics, epidemiology, or a related quantitative role.
• Strong knowledge of statistical inference, experimental design, and model validation.
• Proficiency in Python and statistical libraries including NumPy, pandas, SciPy, and statsmodels.
• Experience designing and executing statistical analysis plans for complex datasets.
• Familiarity with longitudinal and real-world data, missingness, censoring, and time-dependent effects.
• Authorization to work in the United States or Canada is required.

Nice to have

• Experience validating machine learning models in healthcare or other regulated domains.
• Background in survival analysis, causal inference, or longitudinal modeling.
• Knowledge of calibration, discrimination, decision-curve analysis, fairness, bias assessment, and subgroup performance analysis.
• Experience with PHI-sensitive data and compliance-driven environments.
• Advanced degree in biostatistics, statistics, epidemiology, public health, or a related field.

Culture & Benefits

• Full-time role with a remote work arrangement in the United States or Canada.
• Competitive salary and benefits package.
• Flexible working hours.
• Collaborative, dynamic environment focused on creativity, innovation, and improving health outcomes.
• Commitment to an inclusive and equitable workforce.