Job Description

The Turco Lab at the Friedrich Miescher Institute for Biomedical Research (FMI) is looking for a computational biologist specialized in analysis of large omics datasets. The candidate will be embedded in the FMI Computational Biology Platform (part of the Swiss Institute of Bioinformatics) and co-supervised by the Head of the FMI Computational Biology group, Dr. Michael Stadler.




The Turco Lab investigates how the human placenta develops and how this process is shaped by the maternal uterine environment. We study the molecular and cellular mechanisms that generate functional placental and uterine lineages and govern maternal-fetal interactions. To address these fundamental questions, we develop and apply advanced 3D organoid models of human placenta and endometrium in combination with imaging, gene editing, single-cell genomics, and bioengineering approaches. Our overarching goal is to understand the principles of human placental development and their relevance for reproductive health and pregnancy complications.

In this role, you will

Lead the computational analysis of single-cell RNA sequencing, spatial transcriptomics, and other high-throughput technologies derived data. Develop and apply integrative bioinformatics pipelines in line with the setup provided by the Computational Biology platform to generate insights into human placental and endometrial biology. Coordinate data analysis efforts across multiple projects and collaborate closely with experimental team members. Contribute to the interpretation and integration of datasets to uncover mechanisms of cell lineage decisions and cell-cell interactions. Provide bioinformatics expertise and support to other members of the lab.

About you

You hold a PhD in Computational Biology, Physics, Computer Science or equivalent. You have hands-on experience in computational analysis of high-throughput datasets including single cell RNA-sequencing, ATAC-seq, ChIP-seq and spatial transcriptomics datasets, preferably with R/Bioconductor. You are keen to contribute to our teams' efforts to uncover the fundamental biology of human reproduction. You are open to explore and learn about new analysis methods. You are reliable, have strong work ethics and high levels of motivation. You are able to work independently and have a high degree of flexibility. You communicate clearly and effectively in English.

What we offer

A competitive compensation and benefit package. A 2-year initial contract with the possibility of extension. Opportunities to participate in different scientific workshops and trainings to learn new techniques. An engaging working environment in a team with experienced co-workers. A dynamic, multidisciplinary, and international environment that values diversity, inclusion, and the contributions of every individual. A friendly, supportive and competent team.

How to apply

Please submit your application online at www.fmi.ch/opening. Your application should include:


A letter of motivation Your CV The names and contact details of 2-3 referees

The position is available immediately and candidates will be reviewed on a rolling basis until the position is filled.



For further information, please contact Dr. Margherita Turco (margherita.turco@fmi.ch) and Dr. Michael Stadler (michael.stadler@fmi.ch).

About the FMI

The FMI is a world-class biomedical research institute affiliated with the University of Basel and Novartis Biomedical Research. With an international staff of about 330 people, including more than 150 postdoctoral fellows and graduate students, the FMI conducts cutting-edge research in genome regulation, multicellular systems and neurobiology. We are located in the vibrant city of Basel, Switzerland's third-largest city and Europe's leading hub for the life sciences.



At the FMI, diversity is the cornerstone of innovation and collaboration. We foster an inclusive environment where everyone can thrive and contribute meaningfully. We welcome applicants of all genders, cultures, ethnicities, and demographics who can complement our existing team. Join us in building a scientific community that represents and benefits the world we study.