Computational Biologist

Owkin·Francemid

En corto

→Biólogo computacional que desarrolla inteligencia artificial agente para descubrir nuevas dianas terapéuticas y biomarcadores.
→Analiza datos omicos (genómica, transcriptómica, proteómica) usando ML/DL y colabora en equipos multidisciplinarios.
→Lo destacable: trabaja en un sistema de IA autónoma (K Pro) que actúa como científico de investigación en farmacéutica.

Fluency in written and spoken English.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓MSc o PhD en biología computacional, bioinformática, ciencia de datos, matemáticas o áreas relacionadas.
✓Experiencia con datos omicos y pipelines de procesamiento NGS.
✓Capacidad para integrar conjuntos de datos multi-ómicos.
✓Conocimiento en biología molecular y celular, especialmente en cáncer o enfermedades humanas.
✓Habilidades de programación en Python y uso de ML (scikit-learn, xgboost, validación cruzada).
✓Fluidez en inglés escrito y hablado.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Pythonscikit-learnxgboostcross validationstatistical testsNGS data processing pipelinesmulti-omics integrationsingle-cell RNA-seqspatial transcriptomicsagentic AI systems

¿A quién escribirle en Owkin?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About us 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 respect to relevant approaches and datasets Participate in the interpretation of results and help design validation strategies together with cross-functional teams. 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. What we offer Flexi

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