PsychoGenics Inc is seeking a VP of Data Science/AI Platforms to lead their data science team and advance operational capabilities in preclinical research focused on CNS and orphan disorders. The ideal candidate will have significant senior-level experience in data science and machine learning, with a strong background in developing and managing analytical platforms
Job Summary
The VP will lead the Data Science team to maintain and advance PsychoGenics' operational data science capabilities across Cube technologies.
This role ensures core data-processing, machine-learning, and computer vision workflows remain robust, reproducible, and scalable for internal programs and clients.
PsychoGenics offers competitive performance-based compensation, comprehensive benefits including medical and dental insurance, and a stock-based incentive plan.
Matching Summary
Match Score: 85
PsychoGenics Inc is seeking a VP of Data Science/AI Platforms to lead their data science team and advance operational capabilities in preclinical research focused on CNS and orphan disorders. The ideal candidate will have significant senior-level experience in data science and machine learning, with a strong background in developing and managing analytical platforms.
Salary
Competitive performance-based compensation; Annual performance-based raise and discretionary bonus available; Stock-based incentive plan included
Skills & Requirements
Must-have
Senior-level data science leadership experience
Machine learning and computer vision expertise
Python programming with PyTorch or TensorFlow
Scalable ML pipeline development and deployment
Reproducible operational data workflows
Nice-to-have
Preclinical neuroscience and behavioral pharmacology background
MLOps, cloud computing, and containerization skills
Experience with EEG and multimodal data integration
Strong client-facing presentation and business development skills
Knowledge of translational biomarker development
Key Requirements
Advanced degree in data science, computer science, or related field
Significant senior-level experience leading technical teams
Deep expertise in analyzing complex biological and sensor-derived datasets