Job Description

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. Were looking for people who are determined to make life better for people around the world.NLP Data ScientistAdvanced Analytics And Data SciencesHow would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring your skills and talents to Lilly and our Advanced Analytics and Data Sciences organization where youll have the opportunity to make an impact on the lives of patients.As an innovation driven company, we 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.Our Advanced Analytical and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings. Come join us on our amazing journey to make life better!Key responsibilities include:

• Apply NLP technologies to answer business questions, solve business challenges, and make real-world impact.
• Perform cutting edge research in natural language processing (NLP) technologies.
• Stay current with new technology trends in NLP and NLG.
• Define and own a roadmap of large-scale projects from inception to completion.
• Participate in strategic decision-making across the project.
• Mentor and lead other teammates and interns.
• Publish your work to top conferences.
• Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
• Partner with engineering teams to deliver your technology.
• Work with teams and partners across the company providing data science support for multiple projects.

Knowledge, Skills, & Abilities:

• Strong technical knowledge of statistics, machine learning, and state-of-the-art deep learning for text and graphs literature.
• Proven experience with natural language processing, including textual data processing , training, and evaluating deep learning and large language models (Transformer based models, Bert, GPT, etc).
• Demonstrated ability in defining, leading, and executing challenging research projects.
• Strong computer science fundamentals, problem solving skills, programming (Python)
• Familiarity with various NLP toolkits like Langchain, LlamaIndex, Huggingface Transformers, Spacy, CoreNLP, OpenNLP etc.
• Experience using cloud services: AWS /Azure
• Proven ability to impact product with cutting edge research technology.
• Prior experience of building healthcare-related products will be a plus.

Basic Qualifications:

• Ph.D. in Computer Science, Statistics, Computer Engineering, Electrical Engineering, Information Science, Information Engineering or related field
• 5+ years of experience working in NLP / Text analytics.

Additional Information:

• 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.
• Know, learn, and keep up to date on the analytical, computational and scientific advances to maximize your impact.
• Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.

Lilly is a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values excellence, integrity, and respect for people that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being through competitive pay, comprehensive employee benefit programs, and training and development resources.Were doing extraordinary things. Join us and you could be, too!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 ( Lilly_Recruiting_Compliance@lists.lilly.com ) 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 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.#WeAreLilly

Eli Lilly