VP, Data Science​/AI Platforms

Psycho Genics is a preclinical CRO with expertise in central nervous system (CNS) and orphan disorders. Our mission is to provide the best validated disease models and comprehensive preclinical capabilities to help companies discover the next generation of treatments for severely disabling CNS and orphan disorders and reduce the attrition rate in clinical development. We are known for our cutting‑edge translational approach to research, our customized solutions, the breadth, and quality of our work, and for our ability to identify statistically relevant phenotypic changes that help our clients quantify the efficacy of their treatments before they move into the clinic.

With an extensive portfolio of highly predictive disease models and unparalleled experience performing studies for biopharmaceutical companies of all sizes, we enable clients to deliver much needed superior clinical candidates to patients.

The VP, Data Science/AI Platforms will serve as the senior technical and managerial leader responsible for maintaining, securing, and advancing Psycho Genics’ operational data science capabilities. The role leads the Data Science team and owns analytical systems supporting Psycho Genics’ Cube technologies, including Smart Cube, Neuro Cube, Pheno Cube, and eCube. The position ensures that PGI’s core data‑processing, machine‑learning, computer‑vision, and analytical workflows remain robust, reproducible, scalable, and fit for operational use across internal programs, client studies, and strategic partnerships.

Axelyra will be supported as a defined strategic client through approved work streams focused on custom analyses, translational analytics, and next‑generation AI/ML method development.

• Lead, manage, mentor, and develop the Data Science team; set priorities, allocate resources, establish timelines, and ensure high‑quality execution.
• Maintain and improve operational data science infrastructure supporting Smart Cube, Neuro Cube, Pheno Cube, and eCube.
• Ensure continuity, reliability, reproducibility, scalability, and auditability of core data‑processing, ML, computer‑vision, analytics, and reporting workflows.
• Partner with software engineering, operations, pharmacology, neuroscience, and study teams to support preclinical neuroscience and pharmacology studies.
• Build and maintain scalable ML analytics pipelines, including data ingestion, preprocessing, feature extraction, model development, validation, deployment, monitoring, and reporting.
• Establish standards for model validation, documentation, version control, data quality, and operational robustness.
• Collaborate in maintenance and development of PGI data collection systems, including sensor, video, signal‑processing, and data‑processing modules.
• Support budgeting, project planning, vendor evaluation, hiring, and prioritization of data science and platform investments.
• Lead custom analyses for Axelyra and other approved client/partner projects under defined project scopes and deliverables.
• Develop next generation analytical methods that support translational drug development, including behavioral analytics, EEG/eCube analytics, multimodal data integration, and AI/ML decision support tools.
• Translate Cube‑derived outputs into actionable insights for drug repurposing, indication selection, patient‑stratification hypotheses, translational biomarker development, and development decision‑making.
• Prepare technical reports, scientific presentations, client‑facing deliverables, publications, and business‑development materials supporting PGI and, where appropriate, Axelyra objectives.
• Evaluate external technologies, datasets, software platforms, vendors, academic methods, and competitive capabilities that may complement PGI platform operations or client/partner strategy.
• Represent PGI’s data science and AI capabilities in scientific, partner‑facing, commercial, and conference settings.
• Maintain appropriate confidentiality, data access, IP, and deliverable‑management practices for Axelyra and other client‑facing work.

• Advanced degree or equivalent professional experience, in data science, computer science, bioinformatics, computational…