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الوصف الوظيفي

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.


EDO Analytic Workbench Tech Lead


Advanced Analytics and Data Sciences


How would you like a career where you get to use your best user experience 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 you’ll 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. Through the Lilly Marketplace and the Analytics Workbench, the Enterprise Data Office provides a user experience to provide capabilities to store, catalog, find, and access Lilly data across the entire organization. These innovative solutions help advance our goal of data democratization at Lilly, unlocking our data for shared approved use. We connect data producers with data consumers and provide AWS backend analytic tools through Enterprise capabilities. In this role, you will help grow and enhance the capabilities we provide for through these applications focusing on a positive user experience leveraging new technologies to advance user output.


Key responsibilities include:


  • Partner with front-end and application teams to create a seamless experience for the user community
  • Develop solutions to connect users to AWS supported services and tools like SageMaker, RStudio, and others
  • Ensure the security of the platforms that enable the user experience
  • Help drive the CI/CD pipeline for deployment of new features
  • Drive formal testing and documentation updates of the solutions to meet Lilly quality requirements
  • Participate in regular SAFe Agile framework team ceremonies

Basic Qualifications:


  • 5+ years of hands on experience in AWS
  • Proven ability to coach and lead a team of junior developers
  • Experience with statistical computer languages such as R, Python
  • Experience in AWS ML Services including Sagemaker, quicksight, Elasticsearch, autipilot 
  • Knowledge of MLOps 
  • Experience with Jira and GitHub 
  • Experience creating data sets using machine learning algorithms. 
  • AWS Cloud formation knowledge (Continuous Integration, Continuous Deployment, Continuous Testing)
  • Familiar with key AWS services, such as IAM, Lambda, and Step Functions.
    • Python preferred for Lambda development
  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables
  • Comfortable using GitHub and modern JS programming language(s)
  • Ability to analyze, design, and implement components by applying best practices and coding standards
  • Demonstrated problem solving ability and attention to detail
  • Experience working with external designers
  • Experience working with API architecture
  • Experience building out automated testing structures
  • Experience building event driven automation solutions
  • Experience designing systems following the principle of least privilege
  • Knowledge of analytics and machine learning lifecycles is beneficial

Additional Information:


  • Strong Commitment to the Principles of Good Software Design
  • Agile Methodologies: Experience with Agile software development, project management methodologies. 
  • Familiarity with QuickSight, SageMaker, Elastic Search 
  • Knowledge with Natural Language Processing/Text Mining is a plus 
  • Understanding of Cloud / Hybrid data architecture concepts
  • Strong Written and Oral Communication Skills
  • Ability to analyze, design, and implement components by applying best practices and coding standards
  • Strong Commitment and Willingness to Learn

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. 


We’re doing extraordinary things. Join us and you could be, too!


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.


#WeAreLilly


تفاصيل الوظيفة

منطقة الوظيفة
الهند
قطاع الشركة
خدمات الدعم التجاري الأخرى
طبيعة عمل الشركة
غير محدد
نوع التوظيف
غير محدد
الراتب الشهري
غير محدد
عدد الوظائف الشاغرة
غير محدد

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