Computational and Statistical Genomics Group | FIMM | University of Helsinki

About The Group

The successful candidate will collaborate closely with the FinnGen consortium, one of the world’s largest genomic research initiatives, and contribute to a vibrant, international team with access to unique datasets and world‑class computational resources. The Computational and Statistical Genomics group at FIMM, led by Simone Rubinacci, develops methods for large‑scale human genomics and statistical genetics. Our work spans algorithm development, cloud computing, and population‑scale sequencing to understand human disease and genetic variation better.

What You Will Work On

This role sits at the core of our data infrastructure. Your primary focus will be on ensuring that our WGS and WES data are clean, harmonized, and analysis‑ready. Over time, you will also have the opportunity to contribute to downstream genomic analyses and methods work.

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