16 meilleures offres (data scientist biotech, paris (75)) (à pourvoir)

Omics Data Scientist
Spore.Bio —Paris (75)
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Master
R&D Microbiology Engineer
Spore.Bio —Paris (75)
- Télétravail partiel
- Microsoft Excel
- Niveau Doctorat
- Anglais
Research Scientist, Biotechnology
GENOMINES —Les Ulis (91)
- Compétences en communication
Postuler rapidement
Data Scientist - Drug Discovery & AI
Excelya —Saclay (91)
- Temps plein
- Niveau Doctorat
- Anglais
- Intelligence artificielle
Postuler rapidement
Associate Product Specialist, Monolix
Simulations Plus —Antony (92)
- De 50 000 € à 65 000 € par an
- Temps plein
- Niveau Doctorat
- Anglais
- Microsoft Office
Postuler rapidement
Associate Product Specialist, Monolix
Immunetrics —Antony (92)
- Temps plein
- Niveau Doctorat
- Anglais
- Microsoft Office
Technician, Cell Engineering @Brink Therapeutics
Breega —Paris (75)
- Télétravail partiel
- Anglais
- Niveau Licence
- Niveau Bac +2
Postuler rapidement
Intern in Bioprocess
Nūmi —Paris (75)
- Anglais
- Master
- Compétences en communication
Postuler rapidement
Project Leader - Oncology Drug Discovery (Small Molecules) (M/W)
Servier —Gif-sur-Yvette (91)
- Niveau Doctorat
- Anglais
- Intelligence artificielle
AI & Automation Transformational Lead M/F/X
Tissium —Paris (75)
- Télétravail partiel
- Anglais
- APIs
- Intelligence artificielle
Scientific Data manager
Servier —Gif-sur-Yvette (91)
- Niveau Doctorat
- Anglais
- Master
Scientific Product Manager
Owkin —Paris (75)
- Temps plein
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Intelligence artificielle
Postuler rapidement
R&D Project Leader - Cancer Cell Vulnerabilities
Servier —Gif-sur-Yvette (91)
- Niveau Doctorat
- Anglais
Project Leader Drug Discovery (M/W)
Servier —Gif-sur-Yvette (91)
- Niveau Doctorat
- Anglais
- Intelligence artificielle
Intern in Genetic Engineering
Nūmi —Paris (75)
- Temps plein
- Anglais
- Master
Postuler rapidement
Artel Key Account Manager, France and French-Speaking Europe
Nova Biomedical —Paris (75)
- Temps plein
- Télétravail
- Microsoft Powerpoint
- Microsoft Word
- Logiciels de GRC/CRM
Postuler rapidement

Related jobs to explore

Based on your search for data scientist biotech

R&D Microbiology Engineer
Spore.Bio —Paris (75)
Strong Communication & Autonomy: Excellent written and verbal communication skills in French and English. Provide technical mentorship to junior scientists and…
Omics Data Scientist
Spore.Bio —Paris (75)
As data scientist, you will conduct carry out autonomously unsupervised analyses and co-build supervised learning pipelines. A budget for remote work equipment.

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data scientist biotech (paris (75))

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Afficher des offres d'emploi dans d'autres lieux

data scientist biotech jobs near paris (75)

Omics Data Scientist

Spore.Bio
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Qualifications

Niveau Doctorat
Anglais
Master
Machine learning
Deep learning
Python

Description complète du poste

About Us

Spore.Bio is a deeptech startup founded in 2023 that is redefining microbiological quality control in pharmaceutical, food & beverage, and cosmetics manufacturing. Where Spore.Bio deploys biophotonic and deep-learning technology on factory floors, Spore.Labs takes Spore.Bio's core technology into new territory: from AMR detection to microbiome research and beyond.

Spore.labs is looking for a new talent ready to take real ownership, prototype solutions, build incrementally a robust ML pipeline, benchmark SOTA approaches and grow alongside the department they help build.

About the Role

Data-driven AMR prediction requires access to signals that reveal both the root causes of resistance and the downstream consequences that expose activated pathways. The Omics Data Scientist will be responsible for building omics processing pipelines that extract the cleanest possible signals from multiple modalities (whole genome sequencing, transcriptomics, and proteomics) ensuring experimental reproducibility, data standardisation, and correction of technical biases. As data scientist, you will conduct carry out autonomously unsupervised analyses and co-build supervised learning pipelines.

Working closely with both the Spore.Labs Omics Coordinator and Machine Learning Coordinator, you will extract relevant features and deliver AI-ready omics data. You will also establish mono-modal baselines to validate signal presence, reproduce state-of-the-art results from the literature, and contribute to the multimodal architecture that grounds spectral and imaging-based representations in the biology of microorganisms.

Missions

Design pipelines for whole genome sequence, transcriptomics and proteomics normalization, denoising, standardization and feature engineering.
Benchmark omics based AMR prediction from the literature as well as omics machine learning baselines
Develop and implement deep learning models (transformers, graph neural networks, autoencoders) for multi-OMICs integration supporting predictive modeling and mechanistic interpretation.
Adapt and implement computational biology approaches for translational diagnostic applications.
Collaborate closely with microbiologists, computer vision experts, and optical physicists to ensure biological interpretability of AI models.
Contribute to scientific publications, conferences, and intellectual property (patents) highlighting novel insights from integrated OMICs and optical data.

About You

We value curiosity, initiative, and a willingness to learn. Not every box needs to be ticked to apply; we are recruiting for trajectory as much as for current skills. Strong motivation to work at the interface of biology, optics, and AI in a multidisciplinary deeptech environment is a genuine plus.

Academic background: engineer degree, Master's degree, or PhD in computational biology or machine learning applied to Omics.
Professional experience: A minimum of 4 years of proven hands-on omics processing and omics-based deep learning model training. Experience in biotech environment preferred. Previous experience in microbial omics data is a strong plus.
Programming: Proficient in python, comfortable leveraging omics processing software, documents systematically, uses continuous integration tools and best coding practices.
Reliability and autonomy: Able to organise their working day independently once roadmaps are established, anticipate scheduling constraints (computation time, data availability), check for spurious correlation and deliver statistically meaningful conclusions.
Team mindset: Comfortable contributing across tasks in a small laboratory environment. Clear written and verbal scientific communication in English.

Why Join Us?

Be part of a core interdisciplinary team driving the development of a disruptive diagnostic technology with real global health impact
Work at the frontier of microbiology, advanced optics, and machine learning in a team where scientific rigour is the default
Process real clinical and research samples that feed a concrete diagnostic platform from an early career stage
Genuine room to grow: as the laboratory scales, responsibility and independence scale with it, in a permanent position (CDI) in Paris

What we offer

We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:

Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints.

On top of that, we offer many perks such as:

A budget for remote work equipment
A Gymlib subscription for you to stay in shape wherever you are
Premium health insurance (Alan in France)
A Swile card for your meals, if you are based in France
Frequent team events and in-person gatherings every quarter!

Recruitment Process

30-minute introductory call with a team member
Home assignment technical test (2 days to handover the work)
45-minute technical interview (questions on ML/Omics and scientific practices)
Lab visit
Exchange with the Founders

Soumettre votre candidature

Affinez votre recherche

data scientist biotech emplois - paris (75)

Omics Data Scientist

R&D Microbiology Engineer

Research Scientist, Biotechnology

Data Scientist - Drug Discovery & AI

Associate Product Specialist, Monolix

Associate Product Specialist, Monolix

Technician, Cell Engineering @Brink Therapeutics

Intern in Bioprocess

Project Leader - Oncology Drug Discovery (Small Molecules) (M/W)

AI & Automation Transformational Lead M/F/X

Scientific Data manager

Scientific Product Manager

R&D Project Leader - Cancer Cell Vulnerabilities

Project Leader Drug Discovery (M/W)

Intern in Genetic Engineering

Artel Key Account Manager, France and French-Speaking Europe