48 Biology 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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