Computational Biologist

Owkin; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Owkin is recruiting a Computational Biologist to join the Biomedical team in developing and applying agentic AI systems for drug target discovery and biomarker exploration. You will work on multi-omics data, integrate diverse datasets, and contribute to end-to-end AI experiments alongside experts in AI, biology, and medicine.

The role involves collaboration across R&Tech and Biomedical departments, with responsibilities spanning data analyses, literature reviews, and validation design in

Qualifications

• MSc/PhD in computational biology or related field.
• Experience with omics data and NGS data processing pipelines.
• Experience integrating multi-omics datasets.
• Experience in early-stage drug discovery (target ID, biomarkers, patient stratification).
• Knowledge of molecular and cellular biology related to cancer or human diseases.
• Familiar with ML concepts and tools (cross-validation, statistics, scikit-learn, xgboost).
• Experience with autonomous AI agents and agentic workflows.
• Strong Python programming skills.
• Fluent in written and spoken English.

Responsabilités

• Contribute analyses to projects identifying drug targets and biomarkers.
• Analyze biomedical datasets using omics methods and ML.
• Perform literature reviews to stay updated with relevant approaches.
• Interpret results and help design validation strategies with cross-functional teams.
• Collaborate with Owkin’s R&Tech and Biomedical teams.
• Contribute analyses and visualisations for internal and external reports.
• Contribute to Owkin’s internal R&D and toolbox improvements.

Connaissances

Omics data analysis

Python programming

Machine learning

NGS data processing

Formation

MSc/PhD in computational biology

Outils

scikit-learn

xgboost

Description du poste

Our talented multidisciplinary team has expertise across data science, machine learning, medicine, and biology.

We are a community of diverse people bringing our energy and skills to find the right treatment for every patient. Our culture is expressed through our values of curiosity, care, collaboration, and creativity.

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed.
Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners.

Position is based in our Paris office or remotely in France, UK or Germany.

About the role:

As a Computational Biologist at Owkin, you will have a unique opportunity to contribute to the discovery of better treatments through the development and use of agentic AI systems. An integral member of the Biomedical team, you will work alongside world-class experts in AI and biology within a multidisciplinary team dedicated to pioneering discoveries, all while embedded in an organization that develops end-to-end AI systems for clients. Your experience in omics will allow you to contribute to the building of our AI Scientist, an agentic system designed to navigate the complexities of target and drug discovery.

In particular, you will:

Contribute analyses to projects aiming to discover novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics patient or pre-clinical data including: genomic, transcriptomic (spatial, single-cell, bulk), proteomic, and others.

analyze biomedical datasets using classical or novel omics methods and machine / deep learning algorithms

Conduct literature reviews to stay up-to-date with relevant approaches and datasets

Participate in the interpretation of results and help design validation strategies together with cross-functional teams.

Collaborate with other members of Owkin’s R&Tech and Biomedical departments with varied backgrounds (computational biologists and chemists, AI scientists, medical imaging experts, medical doctors, biologists, …).

Contribute analyses and visualisations to generate scientific internal and external communications and reports.

Participate in Owkin’s internal R&D activities, develop new as well as improve existing methodologies, strive to keep Owkin’s Toolbox to the state‑of‑the‑art.

About you

The successful candidate will have a ‘team‑first’ kind of attitude; be curious and detail‑attentive; thrive in a dynamic, fast‑paced environment; and be fun to work with.

And:

Be passionate about the potential for impact when combining AI and healthcare.

MSc / PhD in either computational biology, bioinformatics, biology, machine learning, computer science, mathematics or a related field.

Experience working with omics data and NGS data processing pipelines.

Experience of integrating multi‑omics datasets.

Experience of working in early‑stage drug discovery programs, and with tasks such as target identification, biomarker discovery and patient stratification.

Good knowledge about molecular and cellular biology, especially related to cancer and/or other human diseases, to help interpret analyzis results together with our biomedical experts.

Familiarity with machine learning concepts and toolkits such as: cross validation, statistical tests, scikit learn, xgboost, etc.

Experience using autonomous AI agents and agentic workflows to perform data analyses.

Good programming skills in Python.

Fluency in written and spoken English.

Ways to Stand Out

The following experience is not necessarily required, but would be a plus:

Single-cell RNA‑seq and spatial transcriptomic data analysis.

Clinical and biomedical imaging data.

Hands‑on experience with agentic AI systems and their development.

History of publications or contributions to top‑tier academic journals or conferences.

Have previously worked in a biotech / pharma / life science company.

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What we offer

Friendly and informal working environment

Opportunity to work with an international team with high technical and scientific backgrounds

Candidate Guide

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