AI & Advanced Analytics Consultant

AI & Advanced Analytics Consultant– Healthcare & Life Sciences

Overview

We are seeking a highly analytical and intellectually curious professional to join our AI and Advanced Analytics team. This role combines advanced analytics, data science, machine learning, and emerging AI technologies to solve complex healthcare and life sciences challenges.

The successful candidate will develop analytics-driven solutions, methodologies, and AI-enabled capabilities that help clients improve decision-making, patient outcomes, commercial effectiveness, and operational performance. Working with large-scale healthcare and life sciences datasets, this individual will contribute to the design, development, and deployment of scalable analytical and AI solutions while collaborating with cross-functional teams across data science, engineering, product, consulting, and business functions.

This role offers the opportunity to work across traditional analytics, machine learning, and modern AI technologies, including Generative AI and Agentic AI, while helping transform innovative concepts into production-ready solutions.

Key Responsibilities

Design and deliver analytical, machine learning, and AI-driven solutions to address healthcare, commercial, patient, and real-world evidence challenges.

Transform business requirements into scalable analytical approaches, methodologies, and production-ready solutions.

Develop and optimize predictive models, patient identification methodologies, segmentation frameworks, forecasting solutions, and targeting approaches.

Build reusable frameworks, accelerators, and analytical assets that can be leveraged across projects and client engagements.

Contribute to the design, development, and deployment of AI and machine learning applications, including Generative AI and agent-based solutions.

Evaluate emerging technologies and conduct proof-of-concept initiatives to enhance existing offerings and create new capabilities.

Partner with engineering, product, and business teams to operationalize and scale successful solutions.

Communicate analytical findings and technical concepts effectively to both technical and non-technical audiences.

Apply software engineering and data science best practices to support maintainable, scalable, and production-ready solutions.

Contribute to innovation, continuous improvement, and advancement of AI and analytics capabilities within the organization.

Required Skills & Experience

Advanced Analytics & Data Science

Strong foundation in statistics, applied analytics, and machine learning.

Experience developing analytical models and methodologies using real-world data.

Knowledge of predictive modeling, segmentation, optimization, forecasting, and statistical analysis.

Familiarity with supervised machine learning techniques such as regression models, tree-based algorithms, and ensemble methods.

Ability to translate business questions into analytical solutions and actionable insights.

Programming & Data Engineering

Proficiency in Python and SQL.

Experience with software development best practices, including version control and code management.

Ability to build, maintain, and optimize data processing, ETL, and machine learning pipelines.

Experience working with large-scale datasets and distributed computing environments is beneficial.

AI & Emerging Technologies

Experience or strong interest in:

Generative AI

Large Language Models (LLMs)

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Semantic Search

Agentic AI and workflow automation

AI application development and deployment

Model evaluation, monitoring, and governance

Data Platforms & Technologies

Experience with one or more of:

Databricks

Snowflake

Spark

Cloud-based analytics and AI platforms

Modern AI and machine learning development tools

Preferred Qualifications

Experience developing production-grade machine learning or AI solutions.

Experience working with healthcare and life sciences data is highly desirable

Experience building reusable analytical frameworks, tools, or data products.

Familiarity with workflow orchestration, APIs, and solution operationalization.

Experience converting clinical, epidemiological, commercial, or business rules into scalable analytical solutions.

Knowledge of healthcare and life sciences industry trends, methodologies, and data assets.

Exposure to therapeutic areas such as Oncology, Immunology, Cardiology, Neurology, Rare Diseases, or Specialty Care.

Key Success Characteristics

Strong analytical and problem-solving capabilities.

Intellectual curiosity and passion for continuous learning.

Innovative and pragmatic approach to challenges.

Product and solution-oriented mindset.

Ability to work effectively in cross-functional and global teams.

Strong communication, storytelling, and stakeholder engagement skills.

Ability to balance innovation, scalability, and business value.

Commitment to quality, collaboration, and responsible AI practices.

Passion for using data, analytics, machine learning, and AI to solve meaningful healthcare challenges.

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.