Advisor - Federated Learning Data Scientist

Eli Lilly • Indianapolis, IN

117d • $142,500 - $228,800

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. The Advisor Federated Learning Data Scientist plays an essential leadership role, responsible for identifying, assessing, and implementing cutting-edge algorithmic solutions that leverage diverse datasets while ensuring data privacy and security for our partners. This position requires comprehensive knowledge in small molecule drug development, ADME/Tox, antibody engineering, and/or genetic medicine, combined with expertise in data science and statistical analysis to develop sophisticated models utilising federated learning. This position will be instrumental in advancing Lilly's pipeline by designing critical algorithms and workflows that expedite the creation of transformative therapies. This role is centered on creating sophisticated models that can simultaneously learn to predict multiple, related endpoints from decentralized data sources.

Requirements

• PhD in a data science field such as Biostatistics, Statistics, Machine Learning, Computational Biology, Computational Chemistry, Physics, Applied mathematics, or related field from an accredited college or university.
• Minimum of 2 years of experience in the biopharmaceutical industry or related fields, with demonstrated expertise in drug discovery and early development.

Nice To Haves

• Experience in developing statistical and machine learning models for complex endpoints.
• Broad understanding of emerging scientific and technical breakthroughs.
• Exceptional interpersonal and communication skills.
• Outstanding EQ, problem-solving, analytical, project management skills.
• Highly self-motivated and organized.
• Demonstrated ability to connect and influence at various levels across disciplines.
• Learning Agility: Ability to quickly adapt to changing circumstances.
• Portfolio Mindset: Strong ability to think with a portfolio-level mentality.
• Independent, self-starter, work without supervision.

Responsibilities

• Architect and implement advanced multi-task learning (MTL) models that effectively leverage shared representations across tasks to improve predictive performance and data efficiency in a federated ecosystem.
• Develop novel algorithms specifically designed to address extreme task and feature heterogeneity across clients.
• Investigate and apply techniques to manage the balance between shared and task-specific learning.
• Collaborate closely with domain experts and stakeholders to define complex biological or chemical endpoints.
• Establish rigorous validation and evaluation frameworks for federated multi-task models.
• Implement XAI techniques to understand and explain the predictions of complex multi-task models.
• Write clean, high-quality, and reproducible code.
• Work in a collaborative, multi-disciplinary team alongside software engineers, MLOps specialists, privacy experts, and domain scientists.
• Maintain a thorough understanding of the latest advancements in federated learning, deep learning, and related fields.

Benefits

• 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.
• Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree