Job offer

• Developing and evaluating AI-solutions in line with responsible AI principles (e.g. robustness, fairness, interpretability) to ensure equitable performance across diverse populations and compliance with regulatory expectations.
• Advancing methods for personalized risk assessments, with a focus on sex/gender differences and vulnerable subpopulations (e.g. pregnant women, children, elderly) to improve safety monitoring and interventions.
• Assessing the effectiveness of AI-supported pharmacovigilance when applied across multiple RWD sources.

Throughout your research, you will address challenges in large-scale, federated observational studies and contribute to the advancement of signal detection and evaluation methodologies within a leading international research environment.

Specific Requirements

• You hold a Master's degree in a relevant field such as the Natural Sciences (e.g., mathematics, physics, biology, statistics), Computer Science, Medical or Health Informatics, Econometrics, or Data Science (or a closely related discipline).
• You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven to apply these methods to real-world data to improve healthcare.
• You are highly motivated, have a proactive attitude, and are able to take initiative in assigned tasks.
• You have excellent written and verbal communication skills in English.
• You enjoy working in interdisciplinary teams with clinicians, pharmacoepidemiologists, and data partners within international consortia.
• Pharmacovigilance knowledge is not required, but is considered a plus.

• You will receive a temporary position for 4 years.
• The gross monthly salary amounts a minimum of € 3217 and a maximum of € 4220.
• Excellent fringe benefits, such as a 13th month that is already paid out in November and an individual travel expense package.
• An International Office which aids you in preparing for you arrival and stay.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as an incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

The Department of Medical Informatics at Erasmus MC invites applications for a full-time PhD position at the forefront of AI-based pharmacovigilance and healthcare. You will join our innovative, multidisciplinary team engaged in international collaborations, including the Observational Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale analytics. This PhD project focuses on methods development to support pharmacovigilance using real-world data (RWD). You will define, implement, benchmark, and validate workflows for reliable detection and validation of safety signals across observational data networks. Key research areas may include