Senior Scientist

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.

Organization:

At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. 

Position:

Advanced Analytics & Data Sciences : Senior Scientist -Japan

We are seeking a highly skilled Data Scientist with Data Engineering expertise to join our AADS team and work closely with the Japan affiliate. Candidate should have a strong background in machine learning, statistical analysis, and data engineering, with experience in handling large healthcare datasets. As a senior scientist, you will work closely with cross-functional teams ( Japan’s MR team, all brand marketing teams, NPP team, Finance team, etc.) to develop data-driven solutions that enhance business decision-making, optimize commercial operations, and drive insights for marketing and sales strategies.

Core Responsibilities

Experience Required

Education:

• • Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, insight generation and data visualizations)
  • Effectively communicate with stakeholders to present the final outcomes and provide recommendations as needed
  • Build deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics
  • Interface with the cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects
  • Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for data science capabilities at LCCI
  • 3-6 years of relevant work experience with demonstrated experience of working as data scientist.
  • Strong foundational understanding in applied statistics
  • Extensive experience working on the areas of machine learning and artificial intelligence, deep learning, natural language processing and other approaches to structured/unstructured data.
  • Proficiency in R and SQL (experience with Python is a plus)
  • Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)
  • Experience with practical implementation of emerging AI and ML research concepts highly preferred
  • Familiarity with data visualization tools like Tableau, Power BI and experience with SQL and NoSQL databases.
  • Excellent Communication Skills required to explain complex data insights to non-technical stakeholders.
  • Experience with AWS cloud services (S3, EC2, Lambda, Glue, EMR, RDS) is preferred.
  • Bachelor’s or master’s degree in technology, statistics/mathematics, econometrics, operations research or computer science

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 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.

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