Associate Vice President - Applied Intelligence for Discovery (AI4D)

Initial Therapeutics, Inc.; San Francisco (CA); On-site; USD 235,500 - 345,400; Full time

Benefits offered by this job

Comprehensive benefit program

401(k) sponsorship

Job summary

Initial Therapeutics, Inc. is seeking an Associate Vice President of Applied Intelligence for Discovery (AI4D) to lead the technical vision for AI capabilities in drug discovery. You will drive a transformation in research methodologies, managing multidisciplinary teams to enable revolutionary approaches to drug discovery.

The candidate must hold an advanced degree and possess extensive experience in AI/ML, with proven leadership skills. Responsibilities include defining strategic direction, overseeing platform lifecycles, and guiding collaborations with technology partners.

Qualifications

• 10+ years experience in AI/ML or data science, with 5+ years leading teams.
• Proven ability to drive AI/ML from concept to scaled deployment.

Responsibilities

• Build and lead a multidisciplinary team spanning data science, ML engineering, and scientific software development.
• Own the full platform lifecycle — from integrating new AI capabilities to sunsetting legacy solutions.
• Drive adoption of MLOps practices for automated and compliant AI development.

Skills

AI/ML experience

Data Science

Lead teams

Cross-functional influence

MLOps practices

Education

Advanced degree (MS/PhD) in Computer Science, Data Science, Computational Biology, or related field

Tools

AWS

Azure

GCP

Job description

The Opportunity

We are building something unprecedented — an AI foundation that will fundamentally change how drug discovery research is conducted.

The Associate Vice President of Applied Intelligence for Discovery (AI4D) will own the technical vision and execution for AI capabilities that enable discovery researchers across therapeutics areas to work in entirely new ways. You will partner with senior leaders across the organization to align these capabilities with research priorities, secure the resources to deliver on the vision, and drive adoption that turns platform potential into scientific impact. You will define the strategic direction for our AI and data science capabilities, ensuring they deliver measurable research acceleration while maintaining the rigor required in regulated drug development.

This role exists to drive a specific transformation: from discovery research that is computationally supported to discovery research that is computationally driven. That means building platforms where AI doesn’t just accelerate existing workflows but enables fundamentally new ones.

Key Responsibilities

• Build and lead a multidisciplinary team spanning data science, ML engineering, and scientific software development
• Set technical vision and roadmap for AI/ML platforms serving discovery research, aligning capabilities with enterprise priorities
• Own the full platform lifecycle — from identifying and integrating new AI capabilities to sunsetting legacy solutions, optimizing for overall portfolio performance as research priorities evolve
• Guide architecture decisions for end-to-end ML workflows: data pipelines, feature engineering, model development, deployment, and monitoring
• Serve as executive champion for AI capabilities, articulating value to senior stakeholders and influencing resource allocation
• Identify, establish, and manage strategic partnerships with technology providers and research institutions to expand platform capabilities
• Drive adoption of MLOps practices that enable reproducible, automated, and compliant AI development at scale
• Partner with technology and therapeutic area leaders to envision and execute on high-impact AI applications and translate research requirements into platform capabilities
• Work across organizational boundaries in a complex matrixed environment to align platform strategy with scientific priorities

Qualifications

• Advanced degree (MS/PhD) in Computer Science, Data Science, Computational Biology, or related field
• 10+ years experience in AI/ML or data science, with 5+ years leading teams

Additional Skills/Preferences

• Proven track record driving AI/ML from concept to scaled deployment in complex matrixed organizations
• Deep expertise in modern ML frameworks, MLOps practices, and cloud platforms (AWS/Azure/GCP)
• Demonstrated track record of driving AI/ML capabilities from concept through scaled deployment in complex, matrixed organizations — with evidence of measurable impact on business outcomes, not just model performance
• Ability to translate between scientific research questions and technical solutions
• Experience navigating cross-functional dynamics and influencing without direct authority
• Experience in pharmaceutical, life sciences, or healthcare industries
• Track record managing external technology partnerships and vendor relationships
• Platform architecture background — you think in systems and portfolios, not features and projects

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $235,500 - $345,400.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k), pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.