Educational Expert in Data-Driven Life Sciences
The growing reliance on large-scale data in the life sciences and health domain demands a new generation of professionals skilled in both data handling and artificial intelligence. This project addresses that urgent need by developing two new post-Master’s courses on:
Advanced machine learning and AI for life sciences – with a strong emphasis on domain-specific applications in bioinformatics and systems biology.
FAIR workflows – integrating the principles of Findable, Accessible, Interoperable, and Reusable data into computational pipelines.
These courses will become part of the national BioSB (Bioinformatics and Systems Biology research school) course portfolio. By strengthening the post-Master’s education ecosystem in the Netherlands, this project aims to equip future bioinformatics and systems biology experts with the skills needed to apply advanced machine learning methods and design FAIR workflows.
You will be based at Amsterdam UMC (location AMC) and part of the Bioinformatics Lab in the Department of Epidemiology and Data Science. You will collaborate with researchers and lecturers across the Netherlands in close cooperation with staff from Health-RI (Utrecht).
We are looking for a proactive educational expert to coordinate and contribute to the development of these two cutting-edge courses. You’ll work closely with national networks, including the BioSB education committee and faculty, bringing together expertise from universities, doctoral schools, and research institutes.
Your responsibilities will include:
Leading the collaborative development of two new post-Master’s courses.
Co-organizing the 2026 BioSB Summer School on Machine Learning and AI for Life Sciences.
Coordinating the revision of the current BioSB Machine Learning course.
Ensuring all course materials align with open science and open education principles.
There will also be plenty of opportunities to actively contribute to teaching BioSB courses.
You have a strong interest in innovating life sciences education and a passion for disseminating skills and knowledge. You bring people together, are structured in your approach, and can manage projects across institutional boundaries.
You have:
A Master’s or PhD degree in a relevant field (e.g., bioinformatics, computational biology, machine learning, or computer science with a strong interest in life sciences).
Affinity with teaching and an interest in coordinating educational projects.
A collaborative mindset and the ability to work with diverse stakeholders.
Experience with the application of state-of-the-art machine learning techniques to high-dimensional life sciences data.
Excellent communication skills in English, both written and spoken.
Experience with scientific programming in Python and familiarity with the Dutch educational landscape are considered strong assets.
- A flying start to your career in science education and curriculum development.
- A contract for a maximum of 24 months (1.0 FTE); part-time options of at least 0.9 FTE can be discussed.
- Classification in salary scale 10: € 3.493 to € 5.504 gross for full-time employment (depending on education and experience). From July 1, 2025, there is a 3% salary increase.
- In addition to a good basic salary, we offer 8.3% end-of-year bonus. Calculate your net salary here.
- Vacation hours: 190,4 per year for fulltime and possibility to save additional hours.
- Free and unlimited access to our online learning environment GoodHabitz.
- Pension accrual with the ABP, of which we pay 70% of the premium.
- A reimbursement of your public transport expenses. Do you prefer to come by bike? Then we have a good bicycle scheme.
- An active staff association and Jong Amsterdam UMC association, both of which organize fun (sports) activities and events.
You’ll join the Bioinformatics Lab at the Department of Epidemiology and Data Science, where we combine research excellence with a strong commitment to education. Our research focuses on integrating omics data analysis with computational modelling to better understand complex biological systems.
As a team, we bring broad experience in teaching bioinformatics, computational modelling, and machine learning — supporting students from diverse backgrounds and at all levels of expertise.
During the publication period, applications will be handled continuously. If the vacancy is filled, it will be closed prematurely.
If you have any questions about this position, please feel free to contact dr. Perry Moerland, via p.d.moerland@amsterdamumc.nl.
For more information about the application process, please contact Tanja Hart, Recruitment advisor, via 06-21603178 or via t.hart@amsterdamumc.nl.
A reference check, screening and hiring test may be part of the procedure. Read here whether that applies to you. If you join us, we ask you for a VOG (Certificate of Good Conduct).
Internal candidates will be given priority over external candidates in case of equal suitability.
Acquisition in response to this vacancy is not appreciated.