Data Engineer

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 35,000 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.

Organization Overview

At the Lilly Innovation Center in Cambridge, Massachusetts, we explore how next generation therapeutics, new technologies, data analytics and new care models can improve patient health and the healthcare system. Our team in Cambridge shares a real passion for challenging conventional wisdom and creating an environment that embraces creative, break-through concepts. The Center offers a start-up environment with large company support. It is located in the heart of Massachusetts’ exploding science and technology cluster and is within walking distance of some of the best academic and industry innovators in the world.

Responsibilities

Research IT – Data Engineer

The successful candidate will join a global team of data scientists, software engineer, computational scientists, develop efficient data management and visualization solution and scale computational analytics to support cutting edge approaches for biopharmaceutical discovery and development for new modalities such as siRNA, gene editing.

This position responsible to extend existing platform for Biotherapeutics to new therapeutics modalities and cloud implementation. The work includes but not limited to data architecture design, data pipeline automation for pre-process, ingestion, storage, and retrieval. This position is based in Lilly Cambridge, while collaborates with global team, across multiple Lilly sites: Indianapolis and San Diego.

The successful candidate will leverage their knowledge of modern data management, cloud architecture, strong problem solving, and software development skills to:

• Foster collaborations with scientists in Cambridge and Indianapolis to design and implement workflow automation.
• Design data architecture, manage the databases, develop, construct, and test the large databases and scalable processing systems to enable iterative and rapid data analysis at scale.
• Identify best practices and implement robust software solutions that help to better extract, transform, and load (ETL) the data into either cloud-based or local database systems.
• Automate key services and tasks across on-prem and cloud systems to increase efficiency and scalability.
• Migrating on-prem software solutions and related data to the cloud.
• Design and deploy new applications directly to the cloud.
• Extend existing enterprise data architect to rapidly standup ad-hoc genomics databases tailored to specific requirements. Enable timely and efficient data updates, queries, and data mining.
• Collaborate with computational scientists to scale-up novel informatics pipeline for efficient data processing and visualization

Basic Qualifications

• Master in computer science, computer engineering, data science or related field.
• Minimum one-year experience in cloud solution architect, development, deployment, Docker container management.
• Minimum two-year experiences in one of the programming languages such as Python, R, PHP, Perl.
• Minimum three-year experiences in Unix/Linux OS and shell scripting
• Minimum one-year experiences in modular design, DevOps and Agile development methodology.
• Minimum one-year experiences Experience in GitHub, Jenkins, Django etc.
• Minimum two-year experiences in data modeling, Data Mart, NoSQL databases, and databases query language (SQL as well as NoSQL).

Additional Skills

• Experience in building pipeline for data ingestion, index management, high dimensional data management
• Ability to work independently to analyze customer requirements and translating to technology spec.
• Ability to communicate and operate effectively across our multi-disciplinary, global environment and take own initiatives.
• Demonstrated track record of agile learning and strong problem-solving skills.
• Experience in Pharmaceutical company or life science industry is desired not required
• Knowledge in genomics or chemistry is desired not required

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.
As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company. If you would like to request an accommodation for medical or religious reasons, you may do so at [email protected].