Sr Data Science Consultant

Posted Yesterday
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São Paulo, BRA
In-Office
Senior level
Healthtech
The Role
Develop machine learning models and production analytics using large healthcare datasets for disease detection, patient outcome prediction, patient identification, and HCP targeting. Translate client requirements into scalable deliverables, validate new methodologies through client work, collaborate with engineering and product teams to productionize solutions, contribute to AI/ML proofs of concept, and mentor junior team members.
Summary Generated by Built In

The Team: 

 

Our Data Science / ML team is a global group working at the center of IQVIA's advances in machine learning and applied statistical methods for real-world evidence. Our work spans disease detection, patient outcome prediction, retrospective clinical studies, and patient subgroups discovery. 

We are looking for a creative, intellectually curious Data Scientist / AIML Engineer to join our Healthcare Data Science team. This role supports both ML delivery and analytics delivery: you will develop ML solutions on large-scale medical data for disease detection and patient outcome prediction and translate client requirements for patient identification and HCP targeting into production analytics deliverables. 

A core part of the work is proving out new methodology and capabilities on live client delivery, then partnering with engineering and product to productionize and scale what works. You will also contribute to AI/ML enablement proofs of concept that enhance existing offerings or shape new ones for our healthcare and pharma clients. 

Must-have requirements:

  • 4-8 years of relevant experience in Data Science / Machine Learning
  • Experience in Healthcare, Pharma, or Life Sciences
  • Experience developing machine learning algorithms and predictive models
  • Strong knowledge of statistics and supervised ML methods (e.g., regression, XGBoost, SVM)
  • Strong Python skills (including OOP) for ML and ETL pipelines
  • Experience with large healthcare datasets (Claims, EMR, consumer data)
  • Experience with Git and software development best practices
  • Experience mentoring junior team members
  • Strong communication and stakeholder management skills
  • Ability to work independently and collaborate in cross-functional teams

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

  • 4-8 years of relevant experience in data science or machine learning
  • Experience in healthcare, pharma, or life sciences
  • Experience developing machine learning algorithms and predictive models
  • Strong knowledge of statistics and supervised machine learning methods, including regression, XGBoost, and SVM
  • Strong Python skills, including object-oriented programming, for machine learning and ETL pipelines
  • Experience with large healthcare datasets, including claims, EMR, or consumer data
  • Experience with Git and software development best practices
  • Experience mentoring junior team members
  • Strong communication and stakeholder management skills
  • Ability to work independently and collaborate in cross-functional teams

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.

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The Company
HQ: Durham, NC
61,500 Employees
Year Founded: 2016

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.

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