Data Scientist
Data Science & Innovation
Madrid, Spain
Build data engineering and machine learning tools and products at the cutting-edge of life sciences. The primary focus of the role is to develop ML solutions on high scale, high complexity rich medical data to predict answers to healthcare challenges.
The role
Support in concept design and development of innovative sampling approaches.
Ongoing development and improvement of quality control methodologies (e.g., anomaly detection, isolation trees), ML based imputation approaches and various projection methodologies specifically for large data sets.
Support in development and automation of machine learning solutions and technologies and high scale deployment for Healthcare Big Data (Pharmacy, Hospital, Physician, Patient).
Support in development and deployment of new offerings.
Selection and application of machine learning techniques, in connection with Healthcare Big Data to identify complex patterns.
Working with technology teams to support machine-learning algorithms in big data platforms.
Our ideal candidate will have:
Master’s degree in mathematics/Statistics, Economics/Econometrics, Computer Science or related field.
Good knowledge and understanding of Machine Learning methods.
Knowledge of the higher statistical and econometric methods in theory and practice.
Experience with handling Big Data.
Skilled in Python/R and SQL.
Fluent in English.
Strong analytic mindset and logical thinking capability, strong QC mindset.
Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities.
Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data)
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and
Whatever your career goals, we are here to ensure you get there!
We invite you to join IQVIA™.
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.
At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise, as part of this culture, IQVIA is committed to ensuring effective equality between women and men, integrating it as a strategic principle in its corporate and human resources policies.
Skills Required
- Master's degree in Mathematics, Statistics, Economics/Econometrics, Computer Science or related field.
- Good knowledge and understanding of Machine Learning methods.
- Knowledge of higher statistical and econometric methods in theory and practice.
- Experience with handling Big Data.
- Skilled in Python, R and SQL.
- Fluent in English.
- Strong analytic mindset, logical thinking, and QC mindset.
- Consulting, creativity, critical thinking, project planning, and attention to detail capabilities.
- Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data).
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.
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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.
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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.
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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.
