Kiro

Kiro is a fast-moving startup developing solutions for better patient care, powered by artificial intelligence. We aim at improving everyone’s health by supporting patients and doctors with understandable and relevant information. We believe that medical biology is at the heart of healthcare. It contributes greatly to the diagnosis, treatment and prevention of diseases. Our mission is to foster the interactions between laboratories, health professionals and patients, to go beyond results in patient care thanks to new technologies and artificial intelligence. Since its inception, Kiro has worked in close partnership with clinical biologists, doctors and medical experts to build together a new approach to medical biology that is more understandable, personalized and relevant for the sake of patients.

kiro.bio

Kiro

kiro.bio

HQFR

Team Size24

Open Jobs5

Total Funding-

Latest FundraiseUnknown

TL;DR

Location: Paris, France

Founded: 2019

Sector: AI for medical biology / medical software

Employees: About 24

Notable investors: Sofinnova Partners; Propulia Capital; Kurma Partners; Bpifrance; business angels

Company Overview

Problem Domain

Bridging gaps between clinical laboratories, healthcare professionals and patients in interpreting and using medical biology results.

Founded

2019

Industry

Software Development

Funding Track Record

Series A

Series A included investors Propulia Capital, Kurma Partners, Bpifrance and business angels.

Investor Signal

“Backed by well-known French and European investors including Sofinnova Partners, Propulia Capital, Kurma Partners and Bpifrance”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Kiro

kiro.bio

Kiro

kiro.bio

HQFR

Team Size24

Open Jobs5

Total Funding-

Latest FundraiseUnknown

TL;DR

Location: Paris, France

Founded: 2019

Sector: AI for medical biology / medical software

Employees: About 24

Notable investors: Sofinnova Partners; Propulia Capital; Kurma Partners; Bpifrance; business angels

Related Companies

Company	HQ	Industry	Total Funding
Youth Health Tech	🇺🇸US	HealthInformation TechnologyMobile, Platforms, and AppsSoftware	-
Intellectual Labs	🇳🇴Oslo, NO	BiotechnologyConstructionData and AnalyticsDeepTechFinanceHealthLending and InvestmentsManufacturingReal EstateSoftware	$220K
Topia Life Sciences	🇺🇸Chapel Hill, US	BiotechnologyDeepTechHealth	-
HawkCell	🇫🇷Lyon, FR	BiotechnologyDeepTechHealth	$5M
Enterprise Bot	🇨🇭CH	—	-

Company Overview

Problem Domain

Bridging gaps between clinical laboratories, healthcare professionals and patients in interpreting and using medical biology results.

Founded

2019

Industry

Software Development

Funding Track Record

Series A

Series A included investors Propulia Capital, Kurma Partners, Bpifrance and business angels.

Investor Signal

“Backed by well-known French and European investors including Sofinnova Partners, Propulia Capital, Kurma Partners and Bpifrance”

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
Youth Health Tech	🇺🇸US	HealthInformation TechnologyMobile, Platforms, and AppsSoftware	-
Intellectual Labs	🇳🇴Oslo, NO	BiotechnologyConstructionData and AnalyticsDeepTechFinanceHealthLending and InvestmentsManufacturingReal EstateSoftware	$220K
Topia Life Sciences	🇺🇸Chapel Hill, US	BiotechnologyDeepTechHealth	-
HawkCell	🇫🇷Lyon, FR	BiotechnologyDeepTechHealth	$5M
Enterprise Bot	🇨🇭CH	—	-

Join the Team

Intern Data Scientist

Hybrid50 Avenue des Champs-Élysées, 75008 Paris, France, FR

Hybrid • 50 Avenue des Champs-Élysées, 75008 Paris, France, FR

🌟 YOUR ROLE & RESPONSIBILITIES —

As a Data Science Intern, you will work on cutting-edge AI research projects at the intersection of healthcare and machine learning. Your project will be defined collaboratively based on your skills and interests, as well as our team’s current priorities in advancing healthcare AI.

What you’ll work on:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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DevOps Engineer

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Design and implement state-of-the-art deep learning architectures for complex healthcare applications

Explore multimodal AI approaches combining vision and language models

Advance GenAI systems leveraging the latest large language models

Investigate cutting-edge retrieval techniques

Develop robust evaluation frameworks and uncertainty quantification methods

Work with agentic AI systems and advanced reasoning pipelines

Design novel evaluation protocols that balance performance, safety, and clinical relevance

Benchmark and compare performance across different model architectures (both closed-source and open-source)### 👤 WHO YOU ARE

Master’s degree (M2) or final year of engineering school in Machine Learning, Computer Science, Mathematics, Physics, or related field
Strong foundation in machine learning, deep learning, and statistics
Proficiency in Python and experience with ML frameworks (PyTorch or TensorFlow)
Experience with scikit-learn, DGL, Transformers, or similar libraries
Familiarity with version control systems (Git)
Ability to read and implement research papers
Strong analytical and problem-solving skills
Professional working proficiency in French and English.
Team spirit and eagerness to learn

Experience with NLP, LLMs, or graph neural networks
Familiarity with healthcare/MedTech domains1. Screening Call – An initial conversation with the hiring manager to understand your background and see if there’s a good fit.

Technical Interview – A discussion with our team to review a take-home test you will do, and dive deeper into your expertise.
Cultural Fit Interviews – One interview to ensure alignment with our values and team dynamics.