AADS PhD Discovery Data Science Internship

Industry:

Company: Eli Lilly and Company

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$43,000 – $100,320

Internship Overview:

You will be part of a growing and dynamic Advanced Analytics and Data Sciences (AADS) team whose main goal is to develop algorithms and methods for discovery research, or methods to support research goals through advanced AI/ML. Multiple roles are available with projects in target identification, small/large molecule discovery, genetic medicine, and computer vision.

Responsibilities:

• 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.
• Ensure timely and effective delivery of projects, address technical challenges, and ensure high-quality outcomes.
• Tackle technical challenges head-on, leverage innovative solutions to overcome obstacles, and drive project success.

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, Computational Biology, or closely related field.

Desired Experience:

• Deep and broad knowledge of statistical modeling, deep learning and data mining methods and tools
• Proficiency in programming languages, e.g. Python, C++, R
• 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
• Demonstrate good research skills by being up to date on new methodology. Eager to learn and innovate to maximize impact and benefit patients.
• Deep expertise in one of the following (role dependent):
  • Protein language models, generative methods e.g. diffusion, multimodal learning, geometric deep learning, graph representation learning, etc.
  • Graph neural networks and/or large language models, training transformer models on molecular datasets such as SMILES/SELFIES, familiarity with cheminformatics toolkit and libraries such as RDKit.
  • Computer vision, image analysis, self-supervised learning, phenotypic profiling, cell segmentation, digital pathology.
  • Develop and implement multi-modal language models integrating genomics, transcriptomics, methylomics, proteomics, and epigenetics data.

Additional Benefits:

• All interns will be considered for full-time positions based on their internship performance and the business need
• Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly
• Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage
• If the intern’s job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

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).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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