Nikos Karaiskos

Contract details: freelance, March-December 2026, remote-first.

If this sounds like you, drop us a message or reach out at jobs@malva.bio for further information.

Know someone who'd be a fit? Help us spread the word 🙏

(4/4)

‍Open positions:
Senior Cloud/Infrastructure Engineer
tinyurl.com/mryj2cjm

Backend Engineer
tinyurl.com/2n9xepus

Data Engineer
tinyurl.com/2mvkbs9m

(3/4)

From the @mdc-berlin.bsky.social in Berlin, Malva is currently part of the @bihatcharite.bsky.social Digital Health Accelerator, with clinical partners at Charité - Universitätsmedizin Berlin.

(2/4)

🚀 We're looking for people to join Malva! 🧬 @danilexn.bsky.social

Malva is the first search engine for single-cell genomics: we process massive amounts of sequencing data to enable ultrafast analysis of millions of cells.

(1/4)

Spatiotemporal dynamics of tumor microenvironment remodeling During tumorigenesis, interactions between tumor and stromal cells progressively remodel the tumor microenvironment (TME) towards pro-tumoral functions. Understanding early TME remodeling dynamics is ...

We’re happy to share our new preprint form
@N_Rajewsky, with @tmpentimalli.bsky.social i.bsky.social @Ilan Theurillat
lab! 🎉
🧬 Spatiotemporal atlas of tumor–stroma crosstalk in a new TNBC model. Spatial transcriptomics (Open-ST), snRNA-seq, and functional validation.
🔗 biorxiv.org/content/10.1...

Our 3D study of the tumor microenvironment is finally out!

Play around with the data yourself at lung-3d-browser.mdc-berlin.de (Kudos to @danilexn.bsky.social👏 )

Many thanks to Nikolaus Rajewsky lab at @mdc-bimsb.bsky.social and everyone involved, it takes a village to raise a multimodal paper!

🧬 Want to implement Open-ST in your lab?

We've published a detailed guide that takes you from tissue sections to 3D molecular maps

star-protocols.cell.com/protocols/3922

5/ As large-scale clinical studies are urgently needed to link spatial biomarkers with patient outcomes, we discuss key considerations for the design of clinical ST projects from sample preservation and method choice to panel design and power analysis.

Current challenges in the clinical translation of high-resolution spatial Transcriptomics methods

4/ Several challenges exist to their swift clincal translation: What is the ‘best’ ST method? How do we turn complex molecular data into meaningful insights for patient care? How do we integrate in clinical routines?

Clinical applications of high-resolution ST methods

3/ In the clinic, spatial biomarkers and patient-specific molecular mechanisms identified by ST hold great potential to inform patient care and help the discovery of novel drug targets, as showcased in early preclinical studies

Investigating tissue organization in 2D and 3D virtual tissue blocks

2/ With high-resolution ST we can study tissue organization in 2D and 3D virtual tissue blocks, analyzing the organization of cells in multicellular niches and identifying which receptor–ligand interactions orchestrate their function in situ.

Exploring clinical samples with molecular microscopes

1/ High-resolution ST omics work as molecular microscopes, digitalizing gene expression and tissue morphology at subcellular resolution. This enables the interactive exploration of millions of transcripts and their comparison with routine histology and pathologist annotations.

Check our review on the 'Challenges & Opportunities in Clinical Translation of High-Resolution Spatial Transcriptomics (ST)' now online ahead of publication!
annualreviews.org/content/journa…

#SpatialTranscriptomics is revolutionizing gene expression profiling at subcellular resolution!

🔬These 'molecular microscopes' can unlock disease mechanisms & guide therapies... But how to bring ST to the clinic?

Our thoughts with T. Pentimalli and N. Rajewsky out @annualreviews.bsky.social 🧵👇