Director - Data Scientist, Lilly Gene Therapy

Eli Lilly and Company

1d

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.

Requirements

• PhD with 5+ years of industry experience or BS/MS with 15+ years of related experience.

Nice To Haves

• Proven track record of successfully leading large-scale data science and AI initiatives across various business functions.
• Strong experience with machine learning algorithms, statistical modeling, and predictive analytics.
• Deep understanding of data engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions.
• Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).
• Exceptional problem-solving and analytical thinking.
• Strong leadership, team-building, and mentoring skills.
• Excellent communication skills, with the ability to translate complex technical concepts into clear business strategies.
• Strong project management skills, with experience leading cross-functional teams and driving initiatives from concept to execution.

Responsibilities

• Lead and mentor a team of data scientists to deliver impactful analytics solutions.
• Develop and implement the organization's strategic vision for data science and AI, aligning with business goals.
• Collaborate with executives and leaders to address key business challenges using data science.
• Drive the creation and implementation of advanced machine learning and AI models to solve complex problems.
• Ensure best practices in model development, validation, and deployment.
• Stay updated on emerging trends and suggest innovative solutions.
• Work with data engineering and IT teams to ensure data availability, scalability, and accessibility.
• Oversee the optimization of data pipelines and workflows for large-scale analysis.
• Integrate data science insights into business processes across various departments.
• Provide strategic guidance on data insights to inform business decisions.
• Present analytical insights and recommendations to senior executives clearly and concisely.
• Lead reporting and performance tracking for data science initiatives, including KPIs and impact assessments.
• Hire and manage a growing team to meet program timelines.
• Help data scientists communicate complex information to a cross-functional audience.

Benefits

• 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees