Vice President, Global Head of AI for Drug Discovery

Roche

. Lead a world-class artificial intelligence and machine learning department focused on designing therapeutics across Roche/Genentech Research and Early Development .

Posted 10/23/2026full-timeUnited StatesLead💰 $364,140 - $449,820 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in artificial intelligence, machine learning, and computational methods to drive drug discovery and therapeutic development. Proven ability to lead multidisciplinary teams, manage large-scale projects, and integrate advanced AI methodologies into research and development processes.

Highest-signal resume keywords

Ph.D. In Computer ScienceExpertise In Artificial IntelligenceDeep Learning ArchitecturesDrug Discovery ExperienceLeadership Of Multidisciplinary Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningComputational ChemistryGenerative ModelsFoundation ModelsPredictive ModelingMolecular DesignProtein EngineeringAutomated Design LoopsHigh-Throughput Active Learning

Soft Skills

Exceptional Communication SkillsAbility To Thrive In AmbiguityBuilding TrustFostering Continuous ImprovementCollaboration

Tools & Technologies

AI InfrastructureComputational FrameworksDrug Discovery PlatformsEngineering CapabilitiesPortfolio Management Tools

Industry Keywords

Therapeutic DiscoveryAntibody DesignStructural BiologyLead OptimizationGlobal Collaboration

About the role

Key responsibilities & impact

Lead a world-class artificial intelligence and machine learning department focused on designing therapeutics across Roche/Genentech Research and Early Development
Advance development and deployment of AI and computational methods across Research and Early Development
Build, scale, and deploy AI methodologies, models, and computational frameworks for antibody design, protein engineering, and small molecule design
Partner with Discovery, Early Development, Therapeutic Area, and Translational teams to apply methods across the Roche/Genentech portfolio
Build and mentor an elite team of AI scientists, machine learning engineers, and computational researchers
Define and execute an AI-driven drug discovery strategy, roadmap, and long-term vision
Set strategy for Roche/Genentech’s Lab-in-the-Loop to support portfolio decision milestones, especially hit identification and lead optimization
Embed AI into discovery programs across gRED and pRED and drive measurable portfolio impact
Integrate predictive computational methods, antibody design, protein engineering, and medicinal chemistry
Track external advances, including co-folding and generative models, and determine where to build, adopt, or partner
Build a balanced portfolio of AI investments spanning portfolio-tied methods and frontier research
Build and lead the global AIDD organization, including AI/ML scientists, engineers, and managers
Set strategy and make decisions regarding talent, infrastructure, resourcing, and capability development
Contribute to the strategic direction of computational research across Research and Early Development
Own budget and resource allocation across sites and establish the AIDD leadership operating rhythm
Drive investment in engineering and platform capabilities
Establish AIDD as the central engine for generative AI, machine learning, and predictive modeling in structural biology, molecular design, and lead optimization
Translate AI advances into drug discovery outcomes using proprietary foundation models, deep learning architectures, and automated design loops
Set the foundation model strategy and build shared capabilities for portfolio programs and frontier research
Integrate autonomous agent systems, high-throughput active learning, and AI-driven workflows
Build a high-performance culture based on trust, feedback, ownership, and results
Own hiring, development, and retention strategy for elite global talent
Travel internationally frequently as a global role

Requirements

What you’ll need

Advanced degree (Ph.D. or equivalent) in Computer Science, Artificial Intelligence, Computational Chemistry, Machine Learning, Computational Biology, or a related quantitative field
Familiarity with drug discovery, molecule design, and therapeutic discovery
Expertise in modern artificial intelligence, deep learning architectures, generative models, and ideally molecular modeling and computational drug discovery
Demonstrated experience advancing state-of-the-art AI infrastructure
Record of leading foundation model or large-scale engineering efforts, or building research groups recognized in the external AI community
Demonstrated ability to lead large, multidisciplinary teams and foster global collaboration
Exceptional communication skills
Ability to thrive in ambiguity and bring clarity to team objectives
Ability to define and communicate a clear departmental mission and vision and pivot quickly in a rapidly shifting environment
Track record of operating a large, multi-site organization, including budget ownership, organizational design, and building engineering or platform functions
Commitment to building trust and fostering continuous improvement through feedback
Ability to collaborate with gRED and pRED partners and leverage synergies within the CS CoE
Taking ownership and maintaining focus on delivering results to the portfolio

Benefits

Comp & perks

A discretionary annual bonus may be available based on individual and Company performance
Benefits detailed at the link provided below