Eli Lilly and Company is looking to develop algorithms and methods for discovery research, or methods to support research goals through advanced AI/ML.
Requirements
- Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Statistics, Computer Science, Electrical and Computer Engineering, Operations Research, Mathematics/Applied Math, or closely related field.
- Deep and broad knowledge of statistical modeling, natural language processing, machine learning, deep learning, computer vision, image analysis, and data mining methods and tools
- Proficiency with analytic tools (R, Python, C++)
Responsibilities
- Partner with research teams to identify, scope, and execute analytic efforts that answer scientific questions, solve business needs, and add business value
- Maintain a broad understanding of drug discovery with scientific teams, bringing an objective voice to the table, and facilitating decisions grounded in data
- Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work
- Stay current with respect to statistical/mathematical/AI modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
Other
- Interpersonal communication skills for effective customer consultation
- Teamwork and leadership skills
- Self-management skills with a focus on results for timely and accurate completion of competing deliverables
- Make the impossible possible in your quest to make life better
- Bring Analytics to life by giving it zeal and making it applicable to our business
