Senior Engineer, SDE, ACOE

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward. 

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. 

Senior Engineer – the role 

Working with an enormous breadth of data, you will be able to design and develop data science applications. As a Senior 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 senior software engineer, you will be a hands-on technical leader, who will also provide architecture and shape coding standards. You will also mentor engineers and data scientists and research and share new solutions. 

Your typical activities will include:  

Consistently deliver robust, high-quality, reliable engineering outcomes in cross functional autonomous scrum teams 

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 

Facilitate cross-team knowledge sharing 

Design and lead engineering efforts going towards building business applications 

Collaborate with engineers and leaders from other organizations inside IQVIA 

Support the product owner by understanding business requirements and helping the team break these into stories 

Lead cross-team exercises, including DevOps incident management bridges 

Lead documentation efforts for product architecture and security compliance 

Lead security assessments and product readiness evaluation 

Perform code reviews for work submitted by other engineers 

Apply SDLC processes consistently every day 

Mentor interns, apprentices, and other engineers 

Qualification: 

Our ideal candidate will have: 

5+ years of relevant collaborative software engineering experience 

2+ years full time engineering roles in at least two companies 

Solid understanding of computer science fundamentals 

Expert familiarity with backend development (Python) or with frontend development, using a JavaScript framework such as React.js. The candidate can be stronger in one area but familiarity of both is required 

Experience designing applications using a microservices architecture 

Knowledge of Kubernetes or another container orchestration platform 

Experience with relational databases 

Experience deploying code into production through CI/CD tools 

Experience building RESTful APIs 

Knowledge of Linux command line tools 

Prior experience leading engineering projects or teams 

Demonstrated in-depth understanding of product development lifecycle 

Demonstrated aptitude for and interest in peer mentorship 

Good verbal and written communication skills 

Knowledge of Agile methodology and experience working in a collaborative Agile environment 

Previous experience evaluating the security of an application 

We will also appreciate if you have some of: 

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 

Prior management training (useful while this is not a management role) 

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and 

Whatever your career goals, we are here to ensure you get there! 

We invite you to join IQVIA™.
Essential Functions
• Guides the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Guides the development of features of models on individual projects and/or products with guidance and support from others
• Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
• Builds and trains new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developedUses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
• Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
• Guides the testing and validation of models to determine viability for deployment with guidance and support from others
• Guides the creation of fit for purpose experiments and prototype ideas to address pharma questions
• Consult for internal and external clients, implement solution development and innovation for complex proposals, conducts client AI project technical delivery

Qualifications
• Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• 4-6 years’ experience working on creating machine learning algorithms
• Programming experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes, Deep learning or equivalent
• Experience working with large, real world datasets

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.