Job Description

Entreprise :

BrainInnov Inc.

Lieu :

Montreal, Canada

Horaires :

Lundi au vendredi

Duree du stage :

4 mois

Type de stage :

Temps plein remunere avec unites MITACS

Date de debut :

Automne 2025

A propos de BrainInnov Inc.

Chez BrainInnov Inc., notre mission est de developper des systemes innovants d'aide a la decision pour contribuer a sauver des vies. Nous sommes actuellement engages dans un projet majeur visant a creer une solution de detection precoce du cancer du poumon. Nous combinons l'expertise technique avec une passion pour la recherche afin de faire progresser la medecine et d'ameliorer les soins aux patients.

Description du Poste

Nous recherchons un(e) stagiaire motive(e) et talentueux(se) pour rejoindre notre equipe et participer activement au developpement de notre solution de depistage precoce du cancer du poumon. Vous serez implique(e) dans diverses taches liees a la vision par ordinateur, travaillant sur des projets de haute technologie a fort impact. Vous developperez des approches d'apprentissage automatique pour extraire des informations pertinentes pour l'analyse de donnees medicales (ex. CT-scan, historique medical). Vos taches incluront, entre autres, l'implementation d'algorithmes de classification, regression, segmentation et detection de boites englobantes sur des images CT-scan 3D au format DICOM.

Responsabilites Principales

Developpement et amelioration d'algorithmes de vision par ordinateur pour le traitement et l'analyse d'images medicales. Developpement de scripts Python pour la gestion, le traitement et l'analyse de donnees medicales. Participation aux activites de recherche et developpement, incluant l'implementation de nouvelles methodologies et l'evaluation des performances des modeles developpes.

Competences Requises

Formation :

Actuellement en master ou doctorat en intelligence artificielle, analyse de donnees, mathematiques appliquees ou domaine connexe.

Competences Techniques

Experience solide en vision par ordinateur et traitement d'images. Maitrise de la programmation Python et des bibliotheques associees (PyTorch, OpenCV, etc.). Bonne comprehension des concepts d'apprentissage automatique, deep learning et transformers.

Au moins 1 an d'experience

dans la manipulation des images 3D DICOM, PyTorch, l'apprentissage profond et la vision par ordinateur.

Competences Preferees :

Experience en imagerie medicale, particulierement avec les images 3D DICOM. Experience en analyse d'images medicales et developpement de systemes diagnostiques.

Ce que Nous Offrons

L'opportunite de travailler sur un projet innovant et concret avec un impact direct sur la sante des patients. Encadrement par des experts du domaine provenant du MILA, de Polytechnique, de l'ETS, du CRCHUM et de Next AI.

Candidature

Si vous etes passionne(e) par l'innovation en sante et souhaitez contribuer a un projet ambitieux, envoyez votre CV, une lettre de motivation et, si possible, des exemples de projets ou travaux que vous avez realises a

contact@braininnov.ca

.

Version anglaise ci-dessous / English version below

Internship Offer: Development of Decision Support Solutions for Lung Cancer Screening

BrainInnov Inc.

is seeking a graduate student for a paid internship this fall focused on the early detection of lung cancer. We are looking for someone with at least 1 year of experience working with 3D DICOM images, PyTorch, deep learning, and computer vision. This is an excellent opportunity to work on an innovative and impactful project with direct implications for patient health. The internship will also include mentorship from experts in the field from MILA, Polytechnique, ETS, CRCHUM, and Next AI.

Company:

BrainInnov Inc.

Location:

Montreal, Canada

Working Hours:

Monday to Friday

Internship Duration:

4 months

Type of Internship:

Full-time paid with MITACS units

Start Date:

Fall 2025

About BrainInnov Inc.

At BrainInnov Inc., our mission is to develop innovative decision support systems to help save lives. We are currently engaged in a major project aimed at creating a solution for the early detection of lung cancer. We combine technical expertise with a passion for research to advance medicine and improve patient care.

We are looking for a motivated and talented intern to join our team and actively participate in the development of our lung cancer early screening solution. You will be involved in a variety of computer vision-related tasks, working on high-tech, high-impact projects. You will be developing machine learning approaches to extract relevant information for the analysis of medical data (e.g. CT-scan, medical history). Your tasks will include, among others, implementing classification, regression, segmentation and bounding box detection algorithms on 3D CT-scan images in DICOM format.

Main Responsibilities

Development and improvement of computer vision algorithms for the processing and analysis of medical images. Development of Python scripts for the management, processing, and analysis of medical data. Participation in research and development activities, including the implementation of new methodologies and the evaluation of the performance of developed models.

Required Skills

Education:

Currently pursuing a master's or PhD in artificial intelligence, data analysis, applied mathematics, or a related field.

Technical Skills

Strong experience in computer vision and image processing. Proficiency in Python programming and associated libraries (PyTorch, OpenCV, etc.). Good understanding of machine learning, deep learning and transformers concepts.

At least 1 year of experience

working with 3D DICOM images, PyTorch, deep learning, and computer vision.

Preferred Skills:

Experience in medical imaging, particularly with 3D DICOM images. Experience in medical image analysis and the development of diagnostic systems.

What We Offer

The opportunity to work on an innovative and concrete project with a direct impact on patient health. Guidance from domain experts from MILA, Polytechnique, ETS, CRCHUM, and Next AI.

Application

If you are passionate about health innovation and wish to contribute to an ambitious project, send your resume, a cover letter, and, if possible, examples of projects or works you have completed to

contact@braininnov.ca

.

Type d'emploi : Stage / Coop
La duree du contrat : 4 mois

Remuneration: 2500,00$ a 3750,00$ par mois

Experience:

3D DICOM images, PyTorch, deep learning, and computer vision : 1 year (required)
Lieu du poste : En presentiel