Advisor - Visual Analyst – Developer

at  Lilly

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.
At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world’s greatest health challenges.

BASIC QUALIFICATIONS

• PhD in Statistics, Biostatistics, Computer Science, Engineering, or a related field OR
• M.S. in one of the above fields plus 5+ years in the industry
• Proficiency with web-based data visualization using d3 and analytics languages like R and Python.

ADDITIONAL SKILLS/PREFERENCES

• Understanding of advanced analytics in statistics and machine learning
• Internal or external consulting experience
• Agility and flexibility to work with very diverse problems and business partners
• Ability to work with diverse data sources and data types
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.
• Proficiency with grammar of graphics and data story telling

• Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.
• Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.
• Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.
• Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
• Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions.
• Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science.
• Ability to influence people to adopt innovative data visualizations and methods.
• Communicate results effectively using data story telling techniques.