VP, Data Science/AI Platforms

PsychoGenics 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, as well as 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 PsychoGenics operational data science capabilities. The role leads the Data Science team and owns analytical systems supporting PsychoGenics Cube technologies, including SmartCube, NeuroCube, PhenoCube, and eCube. The positon ensures that PGIs 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 workstreams focused on custom analyses, translational analytics, and next-generation AI/ML method development.

Essential Responsibilities:

• 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 SmartCube, NeuroCube, PhenoCube, 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 PGIs 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.

Required Qualifications:

• Advanced degree or equivalent professional experience, in data science, computer science, bioinformatics, computational biology, neuroscience, pharmacology, engineering, statistics, or a related field.
• Significant senior-level experience leading data science, machine learning, computational biology, computer vision, AI platform, or scientific software teams.
• Demonstrated experience building, maintaining, and improving large-scale analytical or technology platforms in an operational environment.
• Deep expertise in machine learning, statistics, computer vision, and analysis of complex experimental, biological, behavioral, sensor-derived, imaging, or electrophysiological datasets.
• Strong hands-on experience developing, evaluating, validating, and deploying ML/AI analytical tools using experimental data.
• Demostrated ability to deliver reproducible, maintainable, and operationally robust ML solutions.
• Strong programming skills in Python and the modern Python-based/ML/data science stack, including tools such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow/Keras, and visualization packages.
• Ability to think strategically and tactically across platform architecture, scientific interpretation, team leadership, client deliverablies, and hands-on technical problem solving.
• Strong communication, organizational, project-management, delegation, and cross-functional leadership skills.

Preferred Qualifications:

• Experience in preclinical neuroscience, behavioral pharmacology, translational biomarkers, EEG, video analytics, behavioral phenotyping, drug discovery, or translational medicine.
• Experience with MLOps, cloud computing, containerization, CI/CD, data governance, model monitoring, high-performance computing, GPU-accelerated workflows, or version-controlled analytical workflows.
• Experience with Java, C++, C#, CUDA, Cython, or similar tools; experience writing manuscripts, technical reports, client-facing deliverables, or business-development materials

Total Rewards Plan

PsychoGenics offers competitive performance-based compensation, comprehensive benefits, and career development opportunities. This role is eligible for annual performance-based raise and discretionary bonus for both individual and PsychoGenics annual performance. Our benefits include:

• Medical, dental, vision and life insurance plans
• HSA, FSA and dependent FSA
• Short- and long-term disability plans
• Stock-based incentive plan
• 401K with company contribution
• Tuition reimbursement
• Generous paid time off policy and paid parental leave policy
• EAP
• Additional voluntary benefits

PsychoGenics is a veteran/disability/equal opportunity employer.

We take pride in maintaining a diverse work environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, age, sex (including pregnancy, gender identity or expression and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, status as a protected veteran, or any other legally protected status. We strive to create a workplace that cultivates bold innovation through collaboration and allows our people to unleash their full potential.

Reasonable Accommodation

PsychoGenics provides qualified individuals with reasonable accommodation during the application and hiring process. If you require assistance or need reasonable accommodation due to disability, please contact Human Resources at: careers@psychogenics.com