61 Microbiology jobs in Canada

Job Description

Job Title: Medical Laboratory Technologist (Microbiology)

Location: Ottawa - ON

Job Type: Full-time, Permanent

Salary: $36.00 - $41.00 per hour

Hours: Expected 37.5 hours per week , 8-hour shifts

About us:

At Human Integrity HR, we are the premier recruitment firm exclusively dedicated to supporting diagnostic imaging technologists. We work closely with over 150 ficilities across Ontario to help you find the ideal clinic that aligns with your career goals and personal convenience. Our robust partnerships with clinics allow us to cultivate a vibrant culture, ensuring an unparalleled experience wherever you choose. We highly value dedicated professionals who consistently strive for excellence, as our mission is to connect top-ranked clinics with the most exceptional staff members.

We seek exceptional people with unwavering commitment and passion, propelling Canada’s healthcare system to even greater heights. We invite you to embark on this extraordinary journey with us. Let us help you maximize your potential as a diagnostic imaging tech.

• Perform laboratory tests and analyze data to support scientific investigations.
  
• Carry out routine tasks and follow strict methodologies.
  
• Prepare specimens and samples.
  
• Construct, maintain, and operate standard laboratory equipment.
  
• Record and process patient data.
  
• Ensure the laboratory is well-stocked and resourced.
  
• Research and apply recent developments to improve reliability.
  
• Demonstrate practical scientific procedures and observe strict safety procedures and safety checks.
  
• Write reports, summaries, and protocols regarding experiments.
  
• Perform limited troubleshooting and calibration of instruments and laboratory equipment.
  
• Responsible for lab-cleaning, sample disposal, monthly inventory check, and safety duties.
  

• Bachelor's degree in science, diploma in Medical Laboratory Technology, or a related discipline.
  
• Current registration in good standing with the College of Medical Laboratory Technologists of Ontario (CMLTO).
  
• Working experience as a Medical Laboratory Technologist (MLT).
  
• Understanding of patient process and its application.
  
• Working knowledge of laboratory techniques, terminology, equipment, and materials.
  
• High-level sound and independent judgment, reasoning, and discretion.
  
• Mathematical and scientific skills in interpretation of test results and analyses.
  
• Application of data processing and analytics.
  
• Must be knowledgeable in health & safety and environmental standards.
  
• Must possess a strong understanding of WHMIS and MSDS.
  
• Participation in training and development of lab personnel.
  
• Experience working with MS Office/BIS suite.
  
• Oral and record delivery of vital patient information, and execution skills.
  
• Exceptional attention to detail and organizational skills.
  
• Excellent written and verbal communication skills.
  
• Mandatory staff COVID-19 vaccination policy in effect.
  

• Competitive Compensation and Benefits Package
  
• Dental care
  
• Employee assistance program
  
• Extended health care
  
• Life insurance
  
• On-site parking
  
• Paid time off
  
• Vision care
  
• Professional development, growth opportunities and career advancement
  
• Meaningful and rewarding work
  
• Autonomy to innovate and make things happen
  
• High tech tools to do your job
  
• Excellent team environment
  
• Being part of a growing, reputable, and socially responsible company
  
• Clear, consistent, and demonstrated values

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: 

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.