Key Responsibilities
- Analyze business problems and deliver insights using machine learning and data mining techniques
- Perform exploratory data analysis (EDA) and build predictive models to support forecasting and decision-making
- Apply and evaluate machine learning models using standard performance metrics
- Design and implement Generative AI solutions, including RAG-based agents and end-to-end agentic workflows
- Work with and fine-tune large language models (LLMs) for automation and optimization use cases
- Develop clean, efficient, and scalable code in Python following best practices
- Participate in code reviews, testing, debugging, and optimization
- Create and maintain technical documentation and design artifacts
- Collaborate with cross-functional teams to develop and deploy AI-driven solutions
Required Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
- 1+ year of experience or strong project experience in machine learning, data science, or AI
- Strong programming skills in Python with knowledge of production-level coding practices
- Solid understanding of machine learning algorithms and deep learning techniques.
- Strong knowledge of feature engineering techniques (imputation, scaling, outliers, encoding)
- Familiarity with large-scale data processing tools such as Apache Spark or Hadoop
- Hands-on experience or exposure to LLMs, prompt engineering, and RAG systems
- Strong problem-solving, analytical thinking, and communication skills
Preferred / Nice to Have
- Experience with agentic AI frameworks (e.g., LangChain, AWS Bedrock, AWS Strands or similar)
- Exposure to LLM fine-tuning (e.g., Mistral, LLaMA 2)
- Familiarity with healthcare data or domain knowledge
- Understanding of end-to-end AI solution deployment
What We’re Looking For
- A curious and detail-oriented problem solver with a passion for AI and innovation
- Strong collaboration skills and the ability to work in a fast-paced, team-oriented environment
- A continuous learning mindset with interest in emerging AI technologies
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.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- 1+ year of experience or strong project experience in machine learning, data science, or AI
- Strong programming skills in Python with knowledge of production-level coding practices
- Solid understanding of machine learning algorithms and deep learning techniques
- Strong knowledge of feature engineering techniques (imputation, scaling, outliers, encoding)
- Familiarity with large-scale data processing tools such as Apache Spark or Hadoop
- Hands-on experience or exposure to LLMs, prompt engineering, and RAG systems
- Strong problem-solving, analytical thinking, and communication skills
- Experience with agentic AI frameworks (e.g., LangChain, AWS Bedrock, AWS Strands) or similar
- Exposure to LLM fine-tuning (e.g., Mistral, LLaMA 2)
- Familiarity with healthcare data or domain knowledge
- Understanding of end-to-end AI solution deployment
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
-
Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
-
Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
-
Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
