35 Biological Research jobs in Canada

English

Work must be completed at the physical location. There is no option to work remotely.

Job Description

MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.

At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.

About the Role:

Data science is at the core of our product, and our team tackles projects ranging from large-scale algorithm design to customer use-case configuration. At MindBridge, we specialize in highly regulated markets, delivering explainable, interpretable models for financial analysis. As signatories of the Montreal Declaration for responsible AI, we are committed to advancing AI in finance while keeping it accessible to professionals beyond the tech sphere.

We’re seeking an AI Research Scientist to join our centralized Data Science team. In this individual contributor role, you’ll combine research and hands-on experimentation to design, develop, and validate advanced machine learning solutions. You’ll collaborate with our AI Architect and data scientists to drive innovation in deep learning, natural language processing, and GPU-accelerated computing—helping shape our technical direction and deliver high-impact solutions for clients.

Key Responsibilities:

Research & Innovation

• Investigate and design novel algorithms in machine learning and AI, with emphasis on deep learning architectures, transformers, and generative models.

• Leverage GPU acceleration frameworks (e.g., RAPIDS, CUDA, PyTorch, TensorFlow) to optimize large-scale experimentation.

• Stay ahead of the curve in AI by evaluating and adapting the latest advances into our work.

Applied Development

• Build prototypes that demonstrate research ideas in action, enabling rapid iteration and validation.

• Collaborate with client delivery teams to adapt research outputs to real-world challenges.

• Ensure scalability and efficiency of models through GPU-accelerated workflows.

Collaboration & Thought Leadership

• Work closely with our Data Science Leaders to define and execute the long-term research agenda.

• Mentor data scientists in advanced techniques and help raise the team’s technical bar.

• Share findings internally (and externally, where appropriate) through presentations, blogs, or publications.

Requirements

Desired Skills & Experience:

• PhD in Computer Science, Statistics, Mathematics, or related field with a strong AI/ML focus.
• Deep knowledge of machine learning, deep learning, and optimization methods.
• Experience with transformer-based models (e.g., BERT, GPT, LLaMA) and generative AI.
• Strong hands-on skills with GPU computing frameworks (RAPIDS, CUDA, PyTorch, TensorFlow, JAX).
• Applied Research Skills: Ability to design experiments, analyze results rigorously, and translate findings into practical prototypes.
• Strong ability to convey complex research concepts to diverse audiences, both technical and non-technical.
• Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL), an asset.
• Experience with large-scale distributed training and model optimization, an asset.
• Exposure to client-facing or product-driven environments, applying research in practical contexts, an asset.

Requirements contingent on employment:

• Fulfill requirements necessary to obtain full background check.

Benefits

Why You’ll Love Being Part of Our Team: 

? Competitive Compensation and Equity 

? Flexible Work – Hybrid or Remote 

? Comprehensive health benefits and wellness programs 

? Professional development opportunities 

? Flexible Time Off 

? Company Matched Retirement Plans 

? Unplug and recharge - 4 company-wide digital detox days annually 

Equal Opportunity at MindBridge: 

At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks. MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors. 

At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us. 

Please be advised that we may use AI tools in the processing of your application.

English

• or equivalent experience

Work must be completed at the physical location. There is no option to work remotely.

The employer stated that this position is a green job, because it involves tasks and responsibilities contributing to positive environmental outcomes and helping Canada achieve its net-zero target.

This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups:

Job Description

AI Research Scientist (Test Time Compute) | naptha.ai About the role

We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor, focusing on advancing the state of the art in test time compute optimization for large language models. In this role, you will be responsible for researching and developing novel approaches to improve inference efficiency, reduce computational requirements, and enhance model performance at deployment. Working directly with our technical team, you will help shape the fundamental architecture of our inference optimization platform.

This role is critical in solving core technical challenges around model compression, efficient inference strategies, and deployment optimization. You will work at the intersection of machine learning, systems optimization, and hardware acceleration to develop practical solutions for real-world model deployment and scaling.

• Design and implement novel architectures for efficient model inference

• Develop frameworks for model compression and quantization

• Research approaches to optimize test-time computation across different hardware

• Create efficient protocols for distributed inference and resource management

• Implement and test new ideas through rapid prototyping

• Stay at the forefront of developments in ML efficiency and inference optimization

• Identify and solve key technical challenges in model deployment

• Develop novel approaches to model compression and acceleration

• Bridge theoretical research with practical implementation

• Contribute to the academic community through publications and open source

• Help design and implement efficient inference pipelines

• Develop scalable solutions for model deployment and serving

• Create tools and frameworks for performance monitoring and optimization

• Collaborate with engineering team on implementation

• Build proofs of concept for new optimization techniques

• Work closely with engineering team to implement research findings

• Mentor team members on advanced optimization techniques

• Contribute to technical strategy and roadmap

• Collaborate with external research partners when appropriate

• Help evaluate and integrate external research developments

• Strong background in machine learning and systems optimization

• Deep understanding of model compression and efficient inference techniques

• Hands-on experience with modern ML frameworks and deployment tools

• Experience with ML infrastructure and hardware acceleration

• Track record of implementing efficient ML systems

• Excellent programming skills (Python required, C++/CUDA a plus)

• Strong analytical and problem-solving abilities

• PhD in Machine Learning, Computer Science, Mathematics, or equivalent experience is a plus

• Published research in relevant fields is a plus

• Python programming and ML frameworks (PyTorch, TensorFlow)

• Experience with model optimization techniques (quantization, pruning, distillation)

• MLOps and efficient model deployment

• Hardware acceleration (GPU, TPU optimization)

• Version control and collaborative development

• Experience with large language models

• Initial technical interview

• Research presentation

• System design discussion

• Technical challenge

• Team collaboration interview

• Competitive salary with significant equity stake

• Remote-first work environment

• Full medical, dental, and vision coverage

• Flexible PTO policy

• Learning and development budget

• Conference and research publication support

• Home office setup allowance

• Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups

• Strong bias for practical implementation of research ideas

• Passion for advancing the field of efficient ML systems

• Interest in open source contribution and community engagement

Naptha AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of background.

Job Description

OUR STORY

TechInsights is the information platform for the semiconductor industry.

Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future.

Over 650 companies and 125,000 users access the TechInsights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights’ customers include the most successful technology companies who rely on TechInsights’ analysis to make informed business, design, and product decisions faster and with greater confidence.  For more information, visit

THE OPPORTUNITY

At TechInsights, our Co-op Student Program is founded on the principle of nurturing the next generation of talent by providing an immersive and enriching work experience. We aim to bridge the gap between academic learning and real-world application, offering students the opportunity to apply their knowledge in a dynamic and innovative industry. Through this program, we strive to foster a culture of mentorship, collaboration, and continuous learning, empowering co-op students to contribute meaningfully to our projects and initiatives.

This role is an on-site role at our Ottawa office.

We are seeking a dynamic Research Scientist Co-op Student with a strong focus on lab process development to contribute to our team. As a technically adept individual, you will play a vital role in assisting us to achieve our objectives. This role requires someone who is naturally curious, creative, and analytical, with a passion for exploring new technologies. Your responsibilities will include conducting ongoing research, swiftly evaluating potential solutions, and proficiently prototyping proof-of-concept processes. Furthermore, you will be instrumental in scaling up these solutions into production-ready processes for our customers. If you are eager to apply your technical skills in a collaborative and innovative environment, we encourage you to apply for this exciting opportunity.

WHAT YOU WILL DO

• Collaborate with other cross-functional teams making sure that the challenges they face are well understood.
• Gather ideas from background knowledge, scientific journals and publications, industry experts and other technology areas to generate hypothesis for potential solutions.
• Rapidly prototype proof-of-concept solutions to quickly identify the most effective ideas for development.

• Must be a post-secondary student enrolled in applied physics, engineering physics or related disciplines (masters or undergrad with at least 3 years of program completed).
• Experience with the following will be considered a strong asset:
  • Ion beam/ charged particle physics
  • Monte Carlo simulation of ion beam interactions with solids
  • Hands-on experience in a lab environment with high vacuum systems and ion beam sources
  • Software tools like Python, Excel for recording and evaluating data
  • Prototyping mechanical jigs, mechanical design using CAD
• Strong analytical problem diagnosis skills.
• Ability to independently find, organize and present information clearly and concisely.
• Demonstrated record of learning rapidly and mastering diverse techniques.
• Tenacity, persistence, and an inquisitive mindset.

• Expected salary: CAD $20 - $25/Hour
• Strong sense of camaraderie, mutual respect, and shared goals among colleagues
• Support for community through charitable alliances
• Professional and career development opportunities
• Wellness resources and support from management

Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We’re committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.

TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: -policy

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Job Description

Mila, reconnue pour sa formation académique exceptionnelle et sa recherche d'avant-garde en intelligence artificielle, a pour mission de contribuer au développement économique du Québec et du Canada par le transfert de technologies et l'innovation. En tant que chef de file mondial en IA, Mila collabore avec des partenaires de l'industrie et des établissements d'enseignement pour faire progresser l'apprentissage automatique et ses applications dans le monde réel.

Nous sommes à la recherche d'un.e chercheur.e expérimenté.e et dynamique pour se joindre à notre équipe de recherche sur l'apprentissage de machine appliquée. Dans ce rôle, vous contribuerez à des projets de recherche innovants en collaboration avec des organisations externes, traduisant la recherche de pointe sur l'IA en solutions pratiques qui répondent aux défis du monde réel.

Principales responsabilités :

• Mener des recherches à fort impact dans le domaine de l'apprentissage automatique appliqué, en collaborant avec des partenaires industriels et des institutions universitaires.
• Élaborer et mettre en œuvre des modèles et des algorithmes d'apprentissage automatique de pointe.
• Fournir des conseils aux organisations sur l'application de l'apprentissage automatique à la résolution de leurs problèmes spécifiques.
• Encadrer les chercheurs et chercheuses débutants et les étudiants.es diplômés et collaborer avec ces derniers.
• Contribuer à la croissance et au développement des initiatives de recherche de Mila en participant activement à des ateliers, des séminaires et des conférences.
• Faciliter le transfert de technologie en comblant le fossé entre la recherche théorique et les applications pratiques.
• Publier les résultats de la recherche dans des conférences et des revues de premier plan.

Qualifications requises :

• Doctorat en informatique, en apprentissage automatique ou dans un domaine connexe, avec un solide dossier de publications.
• Expérience avérée dans la conduite de recherches appliquées et le développement de modèles d'apprentissage automatique.
• Maîtrise des langages de programmation tels que Python, et expérience avec des frameworks ML tels que TensorFlow ou PyTorch.
• Excellentes compétences en matière de résolution de problèmes et capacité à travailler en collaboration au sein d'une équipe pluridisciplinaire.
• Solides compétences en communication, avec la capacité de présenter des idées complexes à des publics techniques et non techniques.
• Une expérience dans la collaboration avec des partenaires industriels est vivement souhaitée.

Qualifications souhaitées :

Connaissance du domaine : Une expertise dans un ou plusieurs des domaines suivants est hautement souhaitable :

• Mathématiques appliquées
• Traitement du langage naturel
• Vision par ordinateur
• Apprentissage par représentation graphique
• Apprentissage par renforcement
• Maîtrise du français

Requirements

(English version)

Mila, renowned for its exceptional academic training and pioneering research in artificial intelligence, is dedicated to help fostering economic development in Quebec and Canada through technology transfer and innovation. As a world leader in AI, Mila collaborates with industry partners and academic institutions to drive advancements in machine learning and its real-world applications.

We are seeking an experienced and dynamic Applied Research Scientist to join our Applied Machine Learning Research Team. In this role, you will contribute to innovative research projects in collaboration with external organizations, translating cutting-edge AI research into practical solutions that address real-world challenges.

Key Responsibilities:

• Conduct high-impact research in applied machine learning, collaborating with industry partners and academic institutions.
• Develop and implement state-of-the-art machine learning models and algorithms.
• Provide consultation to organizations on applying machine learning to solve their specific problems.
• Mentor and collaborate with junior researchers and graduate students.
• Contribute to the growth and development of Mila’s research initiatives through active participation in workshops, seminars, and conferences.
• Facilitate technology transfer by bridging the gap between theoretical research and practical applications.
• Publish research findings in top-tier conferences and journals.

Required Qualifications:

• PhD in Computer Science, Machine Learning, or a related field, with a strong publication record.
• Proven experience in conducting applied research and developing machine learning models.
• Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team.
• Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
• Experience collaborating with industry partners is highly desirable.

Preferred Qualifications:

• Domain Knowledge: Expertise in one or more of the following areas is highly desirable:
• Applied Mathematics
• Natural Language Processing
• Computer Vision
• Graph Representation Learning
• Reinforcement Learning
• Proficiency in French

Benefits

De bonnes raisons pour travailler à Mila

• L'opportunité de contribuer à une mission unique ayant un impact majeur ;
• Un programme complet d'assurance de groupe (santé, soins dentaires, invalidité, vie, voyage et avantages complémentaires) ;
• Un programme d'aide aux employés et aux familles ;
• L'accès à un service de télémédecine ;
• Une politique de vacances offrant une base de 20 jours de vacances à l'embauche ;
• Un plan d'épargne retraite avec une contribution de l'employeur de 4 % ;
• Un ensemble généreux et flexible qui vous permet d'adapter vos avantages à ce qui contribue à votre bien-être. Vous pouvez sélectionner et combiner des options en fonction de vos besoins, notamment des crédits liés au style de vie, une assurance améliorée, des jours de vacances supplémentaires et des cotisations de retraite accrues ;
• Des horaires de travail flexibles, un horaire d'été et la possibilité de faire du télétravail ;
• Un environnement de travail au cœur de la Petite Italie, dans le quartier branché du Mile-Ex, à proximité des transports en commun ;
• Une équipe d'experts passionnés dans leur domaine ;
• Un environnement de travail collaboratif et inclusif.

Nous voulons vous connaître

À Mila, la diversité nous tient à cœur. Nous valorisons un environnement de travail équitable, ouvert et respectueux des différences. Nous encourageons toute personne souhaitant œuvrer dans un écosystème en progression continue et stimulée à contribuer à l’application et la définition d’une culture saine et inclusive, à postuler.

Veuillez noter que seules les personnes sélectionnées seront contactées.

(English version)

Good reasons to work at Mila

• The opportunity to contribute to a unique mission with a major impact;
• A comprehensive group insurance program (health, dental, disability, life, travel and extended benefits);
• An employee and family assistance program;
• Access to a telemedicine service;
• A vacation policy offering a base of 20 days' vacation upon hiring;
• A retirement savings plan with a employer contribution of 4%;
• A generous flexible package allowing you to tailor your benefits to what contributes to your well-being. You can select and combine options to suit your needs, including lifestyle credits, enhanced insurance, extra vacation days and increased pension contributions;
• Flexible working hours, a summer schedule and the possibility of telecommuting;
• A work environment in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation;
• A team of passionate experts in their field;
• A collaborative and inclusive work environment.

We want to know you

At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply.

Please note that only selected candidates will be contacted.