Job Description

Job Profile Summary

Under supervision, supports the application of statistical methodologies, advanced machine learning algorithms, and AI techniques to assigned RWE projects, ensuring their timely and high-quality delivery. Also contributes to internal development initiatives focused on standardizing analytic workflows and enhancing project execution efficiency.

Essential Functions

• Drafts Statistical Analysis Plans and analysis dataset specifications to scientifically document clinical analysis requirements.
• Provides statistical methodology support for standard and custom real-world studies, utilizing advanced statistical methods and machine learning algorithms for big data analysis and scientific evidence generation.
• Collaborates with business teams to develop AI tools and analytic platforms, optimizing prompt engineering and standardizing analytic workflows to improve efficiency and quality.
• Stays current with the latest AI research, evaluating and integrating new tools and technologies into RWE business processes.

Qualifications

• Master’s degree in Computer Science, Data Science, Statistics/Biostatistics, Mathematics or a related field.
• At least 2 years of experience in the field of data science or machine learning; experience with analytic platform development, AI-generated content, or Agentic AI projects is preferred.
• Proficiency in SAS, R, Python, Java, or other programming languages, with basic knowledge of software development frameworks.
• Strong data analysis and problem-solving skills.
• Excellent communication skills and a strong spirit of teamwork.
• Excellent English writing and speaking skills are essential; the ability to communicate in Japanese is a plus.

Job Family Description

Assists IQVIA Real World Evidence (RWE) JAPAC businesses and teams in operating more efficiently by identifying and measuring problems, and by recommending, customizing, and implementing solutions related to management, technology, strategy, and RWE life sciences. The RWE JAPAC business encompasses Evidence Strategy & Planning, Real World Late Phase (RWLP), Database Studies, Low-Complexity Non-interventional Studies (LCNIS), Patient Centered Solutions (PCS) and Real-World Digital & Technology, etc.

Sub-Family Description

Drives actionable insights and elevates analytic delivery across the RWE business by integrating biostatistics, data science, software engineering, project management, and health research expertise. Leverages advanced statistical methods, machine learning, and AI techniques to analyze big data, standardize analytic operations, and address complex healthcare challenges. Develops and implements innovative analytic tools and platforms to streamline workflows, improve efficiency, and ensure high-quality outcomes. Provides expert consultation to internal and external stakeholders, guiding the selection of optimal data assets and analytic approaches, and translating analytic outputs into impactful business solutions.

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.