Scientist - Scientific Data

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

We are seeking a highly motivated drug discovery scientist to join our team to contribute to the highly visible drug discovery research in RNA therapeutics (RNATx). The RNATx organization, part of Lilly Genetic Medicine (LGM), is an innovation-focused group working to identify, develop and apply innovative technologies to deliver next generation drugs to our patients around the world. Our collaborative environment brings together scientists and experts from various organizations to accelerate drug discovery.

The successful candidate will collaborate closely with lab and computational scientists to facilitate the data capture, data cleaning/analysis, data storage, workflow improvement.  These data will be critical for the development of AI/machine learning algorithms for RNATx.

Responsibilities:

• Collaborate with partners in developing and executing a cohesive data collection, analysis, storage, and analysis plan for RNATx
• Collaborate with lab scientists to streamline instrument data collection and standardization
• Partner with project team scientists in the analysis of in silico, in vitro, and in vivo data and the generation of standard data analysis and visualization reports
• Act as a bridge between lab scientists and machine learning experts and contribute to the development of overall data, ML, and AI strategy for RNATx

Basic Qualifications:

• Bachelors or Masters in biology, chemistry, or a related scientific field.

Additional Skills/Preferences:

• Demonstrated wet-lab expertise in chemistry, genetics, and molecular biology
• Proven experience in processing, organizing, analyzing and visualizing complex data and information from disparate sources
• Experience in data extraction and manipulation (e.g. SQL, GraphQL) Expertise in programming languages such as Python, R, or JavaScript
• Self-driven and highly motivated individual eager to accomplish goals through effective collaboration
• Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community
• A solid understanding of data science methodologies and application of these in solving drug discovery problems
• Demonstrated capability to collaborate effectively with cross-functional partners
• Proficient in data analysis and reporting
• Excellent problem-solving skills and ability to troubleshoot issues
• Comprehensive knowledge of nucleic acid, cellular and/or molecular biology
• Understanding of the biological principals underlying RNAi based therapeutics

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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