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Lilly Sr. Analyst-IT in New York, New York

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 39,000 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.

Key Objectives and Responsibilities:

  • Using agile methodology, you will work with a team to develop and deploy pipelines for processing and analyzing omics data on our cloud-based data analysis platform.

  • Be a core contributor to data science projects using machine and deep learning for insight generation for therapeutics discovery and development.

  • Build relationships with LRL colleagues by listening, understanding the ask, presenting ideas, and giving/receiving honest feedback. Present projects and ideas to leadership within IDS and LRL.

  • Design, develop, and deploy new data visualization tools on our data visualization platform.

  • Use software engineering best practices (comprehensive testing, version control, documentation, etc.).

  • Help evaluate 3rd party services/technologies that are being used or are being considered by the group.

  • Understand technical decisions being made by the group or the business and anticipate any issues that may arise from those decisions.

  • Be mindful of security compliance when designing new capabilities.

Basic Qualifications:

  • Bachelor’s Degree with 3+ years of experience or Master’s Degree in Informatics, Computer Science, or Science related discipline.

  • Experience with data management, data visualizations, and software development.

Additional Skills/Preferences:

  • Knowledge of some of the main programming languages used in life sciences (Python, R, SQL, etc.)

  • Familiar with Next Generation Sequencing (NGS) data.

  • Experience with data visualization tools such as Tableau or Spotfire.

  • Ability to learn and adapt as the science/technology needs change.

  • Familiarity with cloud computing technologies.

  • Familiarity with software development and version control using Git.

  • Ability to work efficiently and effectively on a diverse team with different viewpoints.

  • Experience with data analysis pipeline development.

  • Demonstrated teamwork, collaboration, and communication skills.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!