Senior AI Engineer
Data Science & Advanced Analytics
Working with an enormous breadth of data, you will be able to design and develop ML and data science applications. As a Senior Engineer you will collaborate with data scientists, business owners, subject matter experts, and go to market teams to build truly innovative solutions to support innovative AIML driven solutions.
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, and support a culture of continuous improvement. As a senior software engineer, you will collaborate with Development team for architecture and coding standards.
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
- Coordinate with data scientists and facilitating their development with the aim of helping them write production grade code
- Establish and enforce standards
- Facilitate cross-team knowledge sharing
- Collaborate with engineers and leaders from other organizations inside IQVIA
- Lead documentation efforts
- Perform code reviews for work submitted by data scientists
- Apply SDLC processes consistently every day
- Mentor data scientists and other engineers
Qualification:
- Substantial relevant collaborative software engineering experience
- Previous full time engineering roles in at least two companies
- Solid understanding of computer science fundamentals
- Expert familiarity with backend development in Python
- Experience designing applications using a microservices architecture
- Experience with LangChain, LangGraph, or similar LLM orchestration frameworks.
- Experience deploying models in cloud environments (AWS, GCP, or Azure).
- Knowledge of Kubernetes or another container orchestration platform
- Experience with relational databases
- Experience working with large volumes of complex data with workflow management tools like Airflow
- Strong understanding of software engineering principles, version control, and testing.
- Experience deploying code into production through CI/CD tools
- Experience building RESTful APIs
- Good verbal and written communication skills
- Knowledge of Agile methodology and experience working in a collaborative Agile environment
What We Offer
- The opportunity to work on transformative AI solutions in healthcare and pharma.
- A collaborative, research-driven environment with real-world impact.
- Career growth through innovation, mentorship, and continuous learning.
- Competitive compensation and benefits
The Team
Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA. Data Science & Advanced Analytics is responsible for developments of the statistical procedures and methods used for quality assurance processes, data imputations, data projections, forecasting and many other for healthcare panel data including pharmacy sales, ecommerce data, hospital consumption, physician level prescriptions and longitudinal anonymized patient level data.
Joining the Data Science & Advanced Analytics team provides the opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment to support international customers. As a member of our team you can expect exciting international projects with interesting development perspectives.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.
You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
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 ultimately improve human health outcomes.
It's an exciting time to join and reimagine what's possible in healthcare.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
