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Data Scientist

  • Application Deadline: Feb. 17, 2025
  • Uppsala
  • Hybrid
  • Application Deadline: Feb. 17, 2025
  • Uppsala
  • Hybrid

Do you want to use your data science expertise to help make medicines safer? Do you thrive in multidisciplinary teams and enjoy solving concrete problems? Would you like to contribute to an efficient development culture for transforming research discovery into valuable products? Then this position could be the right fit for you!

Uppsala Monitoring Centre (UMC) is a dynamic non-profit foundation with an internationally recognised role within the field of pharmacovigilance, whose ambition is to improve the safety of medicinal products throughout the world. We manage and analyse VigiBase, the WHO global database with more than 35 million reports of suspected side effects reported by patients and healthcare professionals in more than 150 countries. This puts UMC in a unique position to detect safety concerns associated with medicines.

Within the Research department, our passionate and savvy data scientists are committed to creating and advancing methods for data-driven discovery of previously unknown safety issues with medicines. They are also focused on developing computational methods to support and enhance human decision-making in pharmacovigilance.

We are looking for a skilled and creative data scientist to support our work and contribute to the team’s development. The data scientist will have a unique opportunity to help research outputs bring value to internal and external stakeholders, reflecting UMC’s core values of excellence, equity, benevolence, and solidarity in a fun and dynamic multidisciplinary department.

What you will do

  • Work in agile multidisciplinary teams composed of data scientists, research pharmacists, and medical doctors.
  • Create, implement, and evaluate novel methods to advance the science of pharmacovigilance with statistical modelling and machine learning.
  • Communicate results with internal and external stakeholders, adapting to the diversity of their backgrounds, as well as disseminate research via scientific publications and participation in research conferences.
  • Participate in competence development by staying up to date with advances in machine learning and Natural Language Processing (NLP) research and apply it to our settings.
  • Acquire a deep understanding of our unique database of side effects to support research pharmacists and medical doctors in their decision-making or research questions.

Work with great people

Salvador Alvarado
Regional Manager
"Working at UMC has given me a fantastic opportunity to make a difference in patients’ lives, by contributing to strengthening the role of medicines safety in many countries world-wide."
Pinelopi Lundquist
Head of WHO Liaison department
"It’s always been important to me to contribute to the safer use of medicines, and I get to do just that in my job. Most days, I leave the office feeling like I’ve contributed to something important"
Elsa Rådahl
System Developer
"I really enjoy the variation in my work, and learning more about the different aspects of the development process and infrastructure."
Tomas Bergvall
Senior Product Manager
"At UMC, I'm able to use my skill set to create meaningful solutions that make a real difference in the world. I'm proud of what we do and the impact we have."
Elki Sollenbring
Senior Pharmacovigilance Education Specialist
"I love exploring how to deliver training, like self-paced online or instructor-led distance courses. There’s so much we can do at UMC to reach people across the globe!"
Alem Zekarias
Senior Pharmacovigilance Scientist
"Knowing I'm doing something meaningful that can help patients all over the world is my passion and my drive."

Skills & Requirements

About you

  • You have an MSc or PhD degree in computer science, engineering, or other quantitative discipline.
  • At least three years of professional data science experience.
  • Advanced coursework in machine learning and programming, and experience in cloud computing are a plus.
  • Interest in Neural Networks and Large Language Models is a plus.
  • Experience with data querying languages and working with databases.
  • Proficient in programming with Python; knowledge of R is a plus.
  • Experience in mentoring junior data scientists and overseeing data-centred projects.
  • Strong interpersonal skills and are comfortable working with multiple stakeholders with diverse backgrounds and nationalities.
  • Innovative, independent, driven, and can quickly devise fit-for-purpose deployment solutions.

Located in the heart of Uppsala, three minutes away from the central station, we are currently around 180 employees and consultants and have generous employee-benefit policies. In addition, UMC allows hybrid working, with the opportunity to work remotely up to 2 days a week. For more information about our activities and products, visit www.who-umc.org.

Great Place to Work

  • Real-world impact – Working for the greater good

  • Learning organisation – Skilled and curious staff

  • Flexible work hours – Allows us to be at our best

About the company

Uppsala Monitoring Centre (UMC) is a non-profit foundation established in 1978 through an agreement between the World Health Organization (WHO) and the government of Sweden as a WHO Collaborating Centre for International Drug Monitoring.

UMC is custodian of the WHO global database of adverse event reports for medicines and vaccines and strengthens global safety surveillance through science and innovation, signal analysis and pharmacovigilance tool development, standardisation with the WHODrug dictionary, and education and communication.

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.


Niklas Norén | Contact Person

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Uppsala Monitoring Centre

Uppsala | Hybrid
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