Digital Pathology Image Analysis Intern

Roche

May 20, 2024

Applications are closed

Internship
Full-time
Off-cycle Internship
Science
Engineering
Mississauga
Remote

Requirements

Are pursuing a MSc/PhD degree or are a recent graduate in Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field; PhD candidate preferred
Fluency in one or more programming languages, preferentially, in Python, and one or more deep learning frameworks.
In-depth knowledge of machine learning and deep learning.
English proficiency required.
Preferred:
Experience applying machine learning algorithms and techniques to imaging data, preferably to biomedical imaging data
Experience with the following topics is a big plus:
Multi-modal large language model (LLM)
Graph neural network (GNN)
Generic adversarial network (GAN)
Diffusion model
Omic data analysis (such as gene sequence data)
Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (parallelization, HPC cluster computing).
Passion and self-motivation of machine learning applications to healthcare
Publications in top conferences (biomedical image analysis or computer vision) or journals preferred.
Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming
Demonstrated contributions to open source packages, libraries or functions.
Creative problem solvers, quick learners and comfortable devising and experimenting with novel approaches who are comfortable dealing with ambiguity and applying new methodologies
Possess entrepreneurship, passion and curiosity for understanding and interrogating complex data.

Responsibilities

Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis, particularly with deep-learning and machine-learning approaches.
Devise, implement and interpret deep learning algorithms to address selected research questions in digital pathology.
Proactively share learnings and knowledge to support the development of the wider Roche community.
Help shape the direction of machine learning and artificial intelligence within Roche.

Roche

Doing now what patients need next.

Science & Healthcare

Industry

10,001+

Employees

1896

Founded Year

Mission & Purpose

Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).