Location – Chicago, IL | Coralville, IA | or Remote-US
Digital Diagnostics is looking for a forward-thinking PhD-level Biostatistician with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team. This role bridges traditional statistical analysis with advanced modeling techniques to drive innovation across clinical trials, digital biomarkers, and real-world data (RWD) applications. The ideal candidate will bring deep statistical knowledge, hands-on experience with AI/ML methodologies, and the ability to apply these tools in the context of regulated clinical research and product development.
What You’ll Bring to the Team
Required
- PhD in Biostatistics, Statistics, Computational Biology, Bioinformatics, or a related quantitative discipline
- 5+ years of experience applying biostatistical and machine learning methods to healthcare data in a clinical, academic, or industry setting
- Proficiency in statistical programming (e.g., R, SAS) and ML frameworks (e.g., Python, scikit-learn, TensorFlow, XGBoost, PyTorch)
- Demonstrated experience building and validating ML models for clinical predi...
