Decoding Biology Hackathon
Decoding Biology Hackathon

September 29-October 1, 2025

Decoding Biology Hackathon

Are you an AI expert or computational scientist with a passion for biology? Do you have what it takes to fine-tune large language models and build intelligent agentic systems that can reason through real biomedical data? Join the Decoding Biology Hackathon!

Tackle a large, pre-specified Q&A-based dataset extracted from rich, multimodal patient data. Your mission: push the boundaries of AI reasoning to accelerate biological understanding and fuel the next wave of scientific breakthroughs.

Date: September 29-October 1, 2025
Venue: Owkin HQ, Paris
Address: 14/16 Bd Poissonnière, 75009 Paris, France

Reserve your spot

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Q and A Robits

The challenge

Improve artificial intelligence for biomedical research

Owkin has generated a proprietary dataset of more than to 300K+ questions and answers derived from the MOSAIC initiative, the world’s largest spatial omics dataset in oncology.

The MOSAIC initiative includes multimodal data from 2,500+ patients across 10 cancer indications and 6 modalities including bulk RNA-seq, WES, single-cell RNA-seq, H&E, spatial omics and clinical data.

The challenge is to leverage the set of training questions, as well as any resource from the public domain, to develop projects that will aim to build or fine tune agentic systems and improve AI reasoning to answer biological questions.

View event details

The dataset

300K+ icon
300K+ Q&A pairs

These Q+A pairs were derived from our proprietary datasets and sources from the public domain.

Topics covered icon
Topics covered

Spatial transcriptomics, tumor vs. healthy tissue comparisons, disease-tissue indication profiling, signature-based molecular reasoning, drug effects, druggability, and protein structure.

Data sources icon
Data sources

From Owkin: MOSAIC, Owkin Discovery Engine.

Others: TCGA, Tahoe-100M, Ginkgo Bioworks, UniProt, patents, Sabdab, Therasabdab, Tough-M1, Clinical trials, Observed antibody space.

Dataset icon
Structured & enriched format

We transformed raw biomedical data through domain-specific analyses including expression profiling, spatial comparisons, perturbation studies, and multi-source integration into structured formats.

Show example Q&As
1K+ QA

Spatial Transcriptomics

A spatial Q&A dataset revealing how gene expression differs between tumor cores and surrounding stroma, built from MOSAIC data.
  • Which genes are up in tumor core vs surrounding tissue?
  • High-resolution spatial context across multiple cancer types. Eg., Which gene is upregulated in tumor islets versus stroma in Lung adenocarcinoma?
~70K QA

Tumor vs Healthy Expression

Expression-based Q&A comparing tumor and healthy tissue across cancers.
  • Does HERC3 exhibit higher transcript abundance in papillary renal cell carcinoma neoplastic tissue compared to matched non-neoplastic tissue?
  • Data from TCGA and Owkin pipelines: built with Owkin’s proprietary Discovery Engine
~150K QA

Gene Indication Features

A Q&A dataset on gene expression differences across healthy and disease tissues.
  • Is the gene expression level of PLEKHG6 significantly elevated in bladder urothelial carcinoma tumor tissue compared to normal spleen tissue?
  • Dataset generated using TCGA and MOSAIC data
35K+ QA

Signature-Based Expression and Similarity Reasoning Across Cancers

Built using signature data from TCGA cohorts exploring how gene signatures behave across indications and which cancers look alike molecularly.
  • Cancer similarity: Which cancer types look most alike based on signature activity?
  • Signature expression and comparison: How do gene programs differ between cancers?
  • Signature similarity: Which gene programs show the same activation patterns?
25K+ QA

Drug-Target Interactions

Data-driven questions derived from Ginkgo Bioworks’ DrugSeq experiments.
  • Predict gene deregulation effects in cancer cells: Would a drug inhibiting the activity of the target TUBB induce a deregulation of gene PTPRH in muscle invasive bladder cancer cells?
  • Over 25K QA pairs from real perturbation experiments
10K+ QA

Drug-Induced Pathway Effects

From perturbation to pathway: How do drugs affect molecular programs?
  • Q&A dataset that captures how compounds affect biological systems, based on gene set enrichment results from the Tahoe-100M dataset.
  • Which Reactome pathway is most affected by a treatment?

Therapeutic Target Profiling

A diverse dataset exploring the druggability, safety, modality, and disease roles of genes through structured questions.

Participant profiles

Data scientists and interdisciplinary researchers with expertise in fine tuning LLMs / RL, creating agentic suites, and open weights ecosystems.

Biological data processing and handling, computational biology (single-cell and spatial RNAseq) or previous work with imaging data is a plus.

Examples of relevant profiles:
  • AI/ML researcher
  • Data scientists
  • Bioinformaticians
  • Computational biologists

50 participants will work in diverse teams of 3 to 5 experts to achieve first place on a leaderboard on a held-out set of Q&A.

Event details and preliminary agenda

September 29, 2025

Hackathon day 1

Owkin Paris HQ
Introductory and plenary sessions followed by the official hackathon kick-off.

September 30, 2025

Hackathon day 2

Owkin Paris HQ
Full day hackathon and project development.

October 1, 2025

Hackathon day 3

Owkin Paris HQ
Project pitches, winner announcements and closing ceremony with guest speaker and entertainment.

Participants will be able to:

GBM research
Build

Contribute to the development or fine tuning of agentic systems and the improvement of AI reasoning to answer questions related to biology and health.

Network
Network

Network and collaborate with experts in the field from both academia and industry.

Mosaic
Access

Privileged access to a subset of the MOSAIC dataset and AWS computing resources for the duration of the hackathon and beyond.

Recognition and grants
Win prizes

A chance to win prizes at the end of the two days for the best ideas and POCs.

Register now

Do you want to support the hackathon?

Owkin is hosting a unique three-day event at our Paris headquarters that will bring together professionals from industry and academia to develop new AI tools that can answer important questions about biology and health.

If you’re interested in sponsoring the event, get in touch with us directly to learn more.

Register your interest for the Hackathon

By completing this form, you are providing us with email information that we will use to contact you about the hackathon. This information will not be sold to third parties. Owkin may transfer your personal information for data hosting.

You can unsubscribe at any time by sending an email to hello@owkin.com.

For more information about our privacy practices and our commitment to protecting your privacy, please see our privacy policy.

Owkin will review applications and select the best candidates based on relevant expertise.
The number of participants is limited to 50 people total. Submitting an application doesn’t guarantee participation in the hackathon and we reserve the right to accept or reject any application. We will contact you directly to inform you of our decision.

Terms and conditions

Any result obtained by the Organisation using the MOSAIC Window Resources, is and remains owned by the Organisation which may use them solely for internal academic research purposes excluding any Commercial Use of such Results.
For the purpose of this Article, “Commercial Use” shall mean any use primarily intended for commercial advantage and/or monetary compensation, including without limiting the foregoing any research project conducted for and/or on behalf of an industrial and/or commercial third party.
Owkin encourages the Organisation to disclose publicly the Results. To disclose such Results and make it available to the scientific community, the Organisation shall use the CC BY-NC-SA 4.0 (“Attribution-NonCommercial-ShareAlike 4.0 International”) licence, accessible to the following hyperlink: https://creativecommons.org/licenses/by-nc-sa/4.0/.