Company: Roche

Location: Mississauga, ON

Job description: Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The PositionLocation: Remote, within canada.Hours: full-time (35 hours per week)Length: 6 monthsAt Roche, we think out of the box to develop advanced analytics that benefit patients today and tomorrow. We are looking for a talented intern to join our team of imaging scientists and software engineers for an exciting and challenging internship. In this position, you will lead the exploration of state-of-the-art computer vision techniques for pathology image analysis and devise novel deep learning algorithms with potential applications in the broader healthcare regime. You will be connected with other interns from various analytics teams across the organization and work on an innovative project in digital pathology by applying advanced analytics and machine learning approaches to the company’s real-world imaging data.The opportunity: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.Who are you: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 preferredFluency 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 dataExperience with the following topics is a big plus:Multi-modal large language model (LLM)Graph neural network (GNN)Generic adversarial network (GAN)Diffusion modelOmic 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 healthcarePublications 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 programmingDemonstrated 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 methodologiesPossess entrepreneurship, passion and curiosity for understanding and interrogating complex data.Relocation benefits are not available for this postingFrançaisSite: Éloigné, Canada.Heures : Temps plein (35 heures par semaine)Durée : 6 moisChez Roche, nous sommes prêts à l’emploi pour développer des outils d’analyse avancés dont les patients d’aujourd’hui et de demain pourront bénéficier. Nous recherchons un stagiaire talentueux pour rejoindre notre équipe de scientifiques en imagerie et d’ingénieurs logiciels pour un stage passionnant et stimulant. À ce poste, vous dirigez l’exploration des techniques de vision assistée par ordinateur les plus modernes pour l’analyse d’images pathologiques et concevrez de nouveaux algorithmes d’apprentissage profond ayant des applications potentielles dans le cadre plus large du système de santé.Vous serez mis en relation avec d’autres stagiaires issus de différentes équipes d’analyse de l’organisation et travaillerez sur un projet innovant en pathologie numérique en appliquant des approches d’analyse avancée et d’apprentissage automatique aux données d’imagerie du monde réel de l’entreprise.L’opportunité:Collaborer avec l’équipe et d’autres parties prenantes afin d’évaluer les techniques et applications de pointe en matière de vision par ordinateur dans l’analyse d’images pathologiques, en particulier avec des approches d’apprentissage profond et d’apprentissage automatique.Concevoir, mettre en œuvre et interpréter des algorithmes de Deep Learning pour répondre à des questions de recherche sélectionnées en pathologie numérique.Partager de manière proactive les enseignements et les connaissances pour favoriser le développement de l’ensemble de la communauté Roche.Aider à orienter l’apprentissage automatique et l’intelligence artificielle au sein de Roche.Qui êtes-vous:Etes titulaire d’une maîtrise ou d’un doctorat ou avez récemment obtenu un diplôme en génie biomédical, en statistique, en mathématiques, Data Science, en génie électrique, en informatique ou dans un domaine connexe; candidat au doctorat préféréMaîtrise d’un ou de plusieurs langages de programmation, de préférence, en Python, et d’un ou de plusieurs frameworks de Deep Learning.Connaissances approfondies de l’apprentissage automatique et du deep learning.Compétence en anglais.Préféré:Expérience de l’application d’algorithmes et de techniques d’apprentissage automatique aux données d’imagerie, de préférence aux données d’imagerie biomédicaleIl est préférable d’avoir l’expérience des sujets suivants:Modèle multimodal à grand langage (LLM)Réseau neuronal graphique (GNN)Generic adverse network (GAN)Modèle de diffusionAnalyse de données omiques (telles que des données de séquence de gènes)Expérience des technologies requises pour effectuer des analyses sur de grandes sources de données ou avec des étapes de calcul intensif (parallélisation, calcul en cluster HPC).Passion et auto-motivation des applications d’apprentissage automatique pour la santéOnt des publications dans les principales conférences (analyse d’image biomédicale ou vision par ordinateur) ou les revues privilégiées.Expérience de la mise en oeuvre de pratiques de recherche reproductibles telles que le contrôle de version (p. ex. en utilisant Git) et la programmation littéraireContributions démontrées à des packages, bibliothèques ou fonctions open source.Des solutions créatives aux problèmes, des apprenants rapides et une conception et une expérimentation aisées avec de nouvelles approches qui sont à l’aise avec l’ambiguïté et l’application de nouvelles méthodologiesPosséder l’esprit d’entreprise, la passion et la curiosité pour comprendre et interroger des données complexes.Les avantages de relocalisation ne sont pas disponibles pour cette publicationWho we areAt Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche’s truly innovative culture.As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.Roche is an Equal Opportunity Employer.
Roche prioritizes diversity, equity, and inclusion in representing the communities they serve globally, believing it is essential for success in healthcare. They are currently seeking a talented intern for a remote position in Canada for a 6-month internship involving advanced analytics and computer vision techniques for pathology image analysis. The successful candidate will collaborate with a team of scientists and engineers, develop deep learning algorithms, share knowledge with the Roche community, and contribute to shaping the direction of machine learning within the organization. Applicants should have a background in fields such as Biomedical Engineering, Data Science, or Computer Science, with experience in machine learning, programming languages, and advanced analytics. Fluency in English is required, and French proficiency is preferred. Relocation benefits are not available for this position. Applicants must also be fully vaccinated against COVID-19 to be employed at Roche in Canada.
Job Description

Position: Packaging Machine Operator

Location: Mississauga, Ontario

We are currently seeking a Packaging Machine Operator to join our team in our Mississauga facility. The ideal candidate will be responsible for operating and maintaining packaging machinery, monitoring production processes, and ensuring product quality meets company standards.

Responsibilities:
– Set up and operate packaging machinery according to production schedules
– Monitor product quality and make adjustments as necessary
– Perform routine maintenance on machinery to ensure optimal performance
– Troubleshoot and resolve mechanical issues to minimize downtime
– Maintain a clean and safe work environment
– Follow company guidelines for product packaging, labeling, and storage
– Complete production reports and maintain accurate records

Qualifications:
– High school diploma or equivalent
– Previous experience operating packaging machinery in a manufacturing environment
– Strong mechanical aptitude and problem-solving skills
– Good communication and teamwork skills
– Ability to work independently and follow directions
– Attention to detail and commitment to quality
– Ability to lift up to 50 lbs and stand for long periods

We offer a competitive salary and benefits package, as well as opportunities for career growth within our organization. If you are a motivated and reliable individual with a passion for manufacturing and production, we encourage you to apply for this exciting opportunity.

Expected salary:

Job date: Sun, 19 May 2024 22:04:52 GMT