Data Scientist (various levels)
Who Collaborating Centre For Int Drug MonitoringSammanfattning
Join Uppsala Monitoring Centre (UMC) as a Data Scientist in the Research Department, contributing to global patient safety through pharmacovigilance. Collaborate in a multicultural team to enhance data utilization from adverse event reports, employing machine learning and natural language processing. This role involves scientific research, method sharing, and product development, reporting to the Head of Data Science. UMC, a WHO Collaborating Centre, is dedicated to advancing the science of drugJobbet i korthet
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tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Work in a multicultural and dynamic environment focused on patient safety.Opportunity for collaboration with experts in pharmacovigilance and data science.Engagement in meaningful research that impacts global health.
Ansök senast: 2026-11-27
Publicerad: 2026-11-06
Beskrivning
Would you like to contribute to safer use of medicines and vaccines globally? We are looking for a Data Scientist for the Research Department at Uppsala Monitoring Centre (UMC). You will join a multicultural and dynamic environment with a clear focus to ensure patient safety globally.
Since 1978, Uppsala Monitoring Centre (UMC) has been dedicated to developing, supporting, and expanding the field of pharmacovigilance science and practice.
As a World Health Organization (WHO) Collaborating Centre, we support work around the world to examine the potential adverse effects of medicines and vaccines and contribute to safer, more informed care of patients.
We are a diverse, international group of pharmacists, physicians, data scientists, system developers, communicators, and many other professionals motivated by a deep belief that the work we do matters.
About the role
Research at UMC is a team effort. Pharmacovigilance experts, engineers, and data scientists work side by side to develop the best ideas and solutions. We are looking for a Data Scientist with excellent technical skills who thrives on collaboration. You will join a self-organising agile team where members share ideas openly, plan their work together, give each other honest feedback, and take joint ownership of outcomes.
You will report to our Head of Data Science, Angnis Schmidt-May.
What you will do
You will help us make better use of data from different sources, the main one being our global database of adverse event reports. Your work will mostly cover the following areas:
Machine learning, natural language processing & large language models: develop methods to support signal management using data from case reports and scientific literature. You will judge carefully when and how AI can be trusted to enhance our research.
Scientific research and dissemination: design and run studies in internal and external collaborations, publish in peer-reviewed journals and present at international conferences.
Sharing methods and assets: make our methods and tools available to others, for example as open-source packages, documented workflows, and reusable models.
Product research: develop innovative methods and conduct exploratory research to improve UMC's products and services. You will work closely with product teams to turn research ideas into useful product features.
Who you are
You are an excellent collaborator. You listen to others and build on their ideas. You share credit and lift the people around you.
You are curious and eager to grow. You seek feedback, reflect on it and act on it. You see learning and development as a lifelong part of your career.
You care about the purpose. Patient safety matters to you, and you hold yourself to high standards of scientific integrity.
Must have
PhD in a quantitative field (e.g., statistics, computer science, computational linguistics, epidemiology, physics), or a master's degree and PhD-equivalent research experience
Track record of scientific work, such as peer-reviewed publications or conference presentations
Minimum of 5 years of practical experience in data science (from industry or research)
Strong Python/R skills
Fluent written and spoken English
Nice to have
Knowledge of
best practices in software engineering
pharmacovigilance, medical terminologies (e.g., MedDRA) or experience working with health data
Experience
working on open-source code
working with cloud infrastructure
working with GenAI and agentic workflows
taking models and methods from research into production
working with user research and product development
mentoring or supervising others
Uppsala Monitoring Centre (UMC) is an independent, self-funded, non-profit foundation established in 1978 dedicated to safer use of medicines and vaccines. Through an agreement between the Government of Sweden and the World Health Organization (WHO), UMC operates the Programme for International Drug Monitoring, supporting over 180 member countries and regions in strengthening safety surveillance, and maintains VigiBase, the WHO global database of adverse event reports. In addition, UMC provides international standards and related digital solutions for secure exchange of pharmacovigilance data, including a global medicine and vaccine terminology for identification of medicinal products. With around 200 staff, UMC advances the science of pharmacovigilance and transforms its practice through technological innovation.
UMC's working language is English. We normally apply a probationary period to new appointments.
If you have any questions regarding this position please contact the responsible manager. You will find the contact details at the end of this page.
UMC follows the collective agreements between the Swedish Agency for Government Employers and Saco-S and ST. Union representatives are Malin Zaar (Saco-S) and Jessica Avasol (ST), +46 (0)18-65 60 60.
Since 1978, Uppsala Monitoring Centre (UMC) has been dedicated to developing, supporting, and expanding the field of pharmacovigilance science and practice.
As a World Health Organization (WHO) Collaborating Centre, we support work around the world to examine the potential adverse effects of medicines and vaccines and contribute to safer, more informed care of patients.
We are a diverse, international group of pharmacists, physicians, data scientists, system developers, communicators, and many other professionals motivated by a deep belief that the work we do matters.
About the role
Research at UMC is a team effort. Pharmacovigilance experts, engineers, and data scientists work side by side to develop the best ideas and solutions. We are looking for a Data Scientist with excellent technical skills who thrives on collaboration. You will join a self-organising agile team where members share ideas openly, plan their work together, give each other honest feedback, and take joint ownership of outcomes.
You will report to our Head of Data Science, Angnis Schmidt-May.
What you will do
You will help us make better use of data from different sources, the main one being our global database of adverse event reports. Your work will mostly cover the following areas:
Machine learning, natural language processing & large language models: develop methods to support signal management using data from case reports and scientific literature. You will judge carefully when and how AI can be trusted to enhance our research.
Scientific research and dissemination: design and run studies in internal and external collaborations, publish in peer-reviewed journals and present at international conferences.
Sharing methods and assets: make our methods and tools available to others, for example as open-source packages, documented workflows, and reusable models.
Product research: develop innovative methods and conduct exploratory research to improve UMC's products and services. You will work closely with product teams to turn research ideas into useful product features.
Who you are
You are an excellent collaborator. You listen to others and build on their ideas. You share credit and lift the people around you.
You are curious and eager to grow. You seek feedback, reflect on it and act on it. You see learning and development as a lifelong part of your career.
You care about the purpose. Patient safety matters to you, and you hold yourself to high standards of scientific integrity.
Must have
PhD in a quantitative field (e.g., statistics, computer science, computational linguistics, epidemiology, physics), or a master's degree and PhD-equivalent research experience
Track record of scientific work, such as peer-reviewed publications or conference presentations
Minimum of 5 years of practical experience in data science (from industry or research)
Strong Python/R skills
Fluent written and spoken English
Nice to have
Knowledge of
best practices in software engineering
pharmacovigilance, medical terminologies (e.g., MedDRA) or experience working with health data
Experience
working on open-source code
working with cloud infrastructure
working with GenAI and agentic workflows
taking models and methods from research into production
working with user research and product development
mentoring or supervising others
Uppsala Monitoring Centre (UMC) is an independent, self-funded, non-profit foundation established in 1978 dedicated to safer use of medicines and vaccines. Through an agreement between the Government of Sweden and the World Health Organization (WHO), UMC operates the Programme for International Drug Monitoring, supporting over 180 member countries and regions in strengthening safety surveillance, and maintains VigiBase, the WHO global database of adverse event reports. In addition, UMC provides international standards and related digital solutions for secure exchange of pharmacovigilance data, including a global medicine and vaccine terminology for identification of medicinal products. With around 200 staff, UMC advances the science of pharmacovigilance and transforms its practice through technological innovation.
UMC's working language is English. We normally apply a probationary period to new appointments.
If you have any questions regarding this position please contact the responsible manager. You will find the contact details at the end of this page.
UMC follows the collective agreements between the Swedish Agency for Government Employers and Saco-S and ST. Union representatives are Malin Zaar (Saco-S) and Jessica Avasol (ST), +46 (0)18-65 60 60.
Ansök till tjänsten
Data Scientist (various levels)
OM FÖRETAGET
Who Collaborating Centre For Int Drug Monitoring










