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Associate Director - TuneLab Biologics Customer Success Partner

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Lilly
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 220000 USD Yearly USD 150000.00 220000.00 YEAR
Job Description & How to Apply Below

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Organization Overview

Lilly Catalyze
360 is a comprehensive approach to enabling the early-stage biotech ecosystem by democratizing access to infrastructure, expertise, and resources. Through its interconnected pillars—Lilly Ventures, Lilly Gateway Labs, Lilly ExploR&D, and Lilly Tune Lab—Catalyze
360 strategically removes barriers that traditionally block bold science from becoming life-changing medicines, providing biotechs with flexible combinations of capital, physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning.

Lilly Tune Lab is an artificial intelligence and machine learning (AI/ML) platform that provides biotech companies access to drug discovery models trained on years of Lilly's research data. Lilly estimates that this first release of AI models includes proprietary data obtained at a cost of over $1 billion, representing one of the industry's most valuable datasets used to train an AI system available to participating companies.

By integrating advanced in silico modelling and federated learning, we connect pioneering machine learning algorithms, substantial computational power, exclusive datasets, and Lilly’s domain-specific knowledge to drive innovation in drug discovery and facilitate access to optimal therapies for patients.

Job Summary

In this role, you will lead engagement with Tune Lab members developing biologics to support their success upon joining Tune Lab. This engaged and growing drug discovery community includes startups, established biotechs, mid-cap pharma, and beyond requiring you to engage and communicate across multiple levels and types of Tune Lab members. Through your drug discovery and modeling expertise, you will provide critical support to partners for them to see maximal value from using Tune Lab.

You will also provide product feedback to Tune Lab, helping shape the roadmap and strategy of the future capabilities of Tune Lab. Further you will interact with the expanding ecosystem of Tune Lab partners ranging from model developers, electronic notebook providers, and CROs to ensure the best experience for Tune Lab members. This role is essential to expanding the platform’s reach and developing an ecosystem of contributors and users who accelerate AI-powered drug discovery.

Key Responsibilities
  • Partner Support and Management

  • Support Tune Lab partners developing biologics to ensure technical success using the growing set of models, workflows, and functionalities within Tune Lab

  • Build partner case studies and identify partner champions to demonstrate how Tune Lab is impacting drug discovery

  • Product Feedback and new capabilities implementation

  • Engage existing Tune Lab partners to identify high-need product improvements

  • Communicate with Tune Lab Product team to translate technical feedback into potential product improvements

  • Roll-out of new features and capabilities to existing Tune Lab members

  • Community Building and Visibility

  • Represent the platform at scientific meetings, AI/ML community gatherings, and user group events

  • Cultivate a sense of identity and shared purpose among Tune Lab participants

Minimu…
Position Requirements
10+ Years work experience
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