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Full-time
Posted 28d ago
~40 hrs/week
Responsibilities
Design and deploy scalable AI and advanced analytics solutions to solve complex healthcare and life sciences challenges. Collaborate with cross-functional teams to transform business requirements into production-ready predictive models and AI-enabled capabilities.
Requirements
Requires strong proficiency in Python, SQL, and machine learning with a deep foundation in statistics and data engineering. Experience with Generative AI, LLMs, and healthcare-specific datasets is highly desired.
Full job description
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.
IQVIA (NYSE:IQV) is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. IQVIA’s portfolio of solutions are powered by IQVIA Connected Intelligence™ to deliver actionable insights and services built on high-quality health data, Healthcare-grade AI™, advanced analytics, the latest technologies and extensive domain expertise. With approximately 88,000 employees in over 100 countries, including experts in healthcare, life sciences, data science, technology and operational excellence, IQVIA is dedicated to accelerating the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
IQVIA is a global leader in protecting individual patient privacy. The company uses a wide variety of privacy-enhancing technologies and safeguards to protect individual privacy while generating and analyzing information on a scale that helps healthcare stakeholders identify disease patterns and correlate with the precise treatment path and therapy needed for better outcomes. IQVIA’s insights and execution capabilities help biotech, medical device and pharmaceutical companies, medical researchers, government agencies, payers and other healthcare stakeholders tap into a deeper understanding of diseases, human behaviors and scientific progress, in an effort to advance healthcare. To learn more, visit www.iqvia.com.
Offices: 2400 Ellis Rd, Durham, North Carolina 27703, US
How many Data & Analytics jobs are open in São Paulo, Brazil right now?
There are currently 2,118 open data & analytics positions in São Paulo, Brazil listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in São Paulo, Brazil?
Companies currently hiring include Serasa Experian, Amazon, B3 S.A. – Brasil, Bolsa, Balcão, DiDi, XP Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in São Paulo, Brazil?
Yes — 1329 of the 2118 open data & analytics positions offer remote or hybrid work (333 remote, 996 hybrid).
How do I apply for Data & Analytics jobs in São Paulo, Brazil?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.