Engineer 2, SDE, ACOE

The Analytics Center of Excellence 

Our Analytics Center of Excellence (Analytics COE) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. We’re using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery.  

This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Center of Excellence is a chance to revolutionize the clinical research industry. 

Software Engineer 2 – the role 

Working with an enormous breadth of data, you will be able to design and develop data science applications. As a software engineer in ACOE you will collaborate with business owners, subject matter experts, and go to market teams to build truly innovative solutions to support clinical trials business, including optimizing design and execution of clinical trials, and improving risk management. 

Involved in every stage of the product development lifecycle, you will work with data scientists to turn working prototypes into well-abstracted reusable services, build software to expose data science models to business users through responsive UIs, and support a culture of continuous improvement. As a software engineer, you will contribute to the architecture and shape coding standards. You will also mentor engineers and data scientists and research and share new solutions. 

Your typical activities will include:  

    •    Contribute to stable, reliable product development work in cross functional autonomous scrum teams 
    •    Writing well-designed, testable, efficient code 
    •    Develop automated CI/CD pipelines that deploy to both on-premises clusters and to the cloud 
    •    Research current and emerging industry tools and techniques, and share these findings with colleagues 
    •    Improve product quality 
    •    Write automated tests to verify the application/service functionality 
    •    Coordinate with data scientists and facilitating their development with the aim of helping them write production grade code  
    •    Drive curiosity and innovation 
    •    Establish and enforce standards 
    •    Design engineering efforts going towards building business applications 
    •    Support the product owner by understanding business requirements and helping the team mapping and converting these into stories  
    •    Contribute to documentation efforts for product architecture and infosec compliance 
    •    Contribute to security assessments and product readiness evaluation 
    •    Help optimizing system performance 
    •    Perform code reviews for work submitted by other engineers 
    •    Apply SDLC processes consistently every day 
    •    Mentor interns, apprentices, and other 

Qualification: 

Our ideal candidate will have:  

    •    2+ years of relevant collaborative software development experience 
    •    Solid understanding of computer science fundamentals 
    •    Expert familiarity with backend development (ideally Python) or with frontend development, using a JavaScript framework such as React.js  
    •    Experience with relational databases 
    •    Experience deploying code into production through CI/CD tools 
    •    Demonstrated in-depth understanding of product development lifecycle 
    •    Good verbal and written communication skills 
    •    Knowledge of Agile methodology and experience working in a collaborative Agile environment  

We will also appreciate if you have some of: 

    •    Experience designing applications in a microservice-oriented architecture 
    •    Knowledge of Kubernetes or another container orchestration platform 
    •    Experience building RESTful APIs 
    •    Knowledge of Linux command line tools 
    •    Prior experience leading engineering projects 
    •    Demonstrated aptitude for and interest in peer mentorship 
    •    Previous experience evaluating the security of an application 
    •    Experience working with cloud ecosystems 
    •    Experience with building, testing, measuring, and deploying machine learning models in production 
    •    Experience working with large volumes of complex data with workflow management tools like Airflow 
    •    Experience with non-relational databases 
    •    Knowledge of UX principles 
    •    Experience working in the Hadoop ecosystem  
    •    Experience with clinical domain and with regulated data

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

IQVIA, Inc. provides reasonable accommodations for applicants with disabilities.  Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.