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Bioinformatics Machine Learning Internship Jobs in Calgary, AB

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Bioinformatics Machine Learning Internship information

What are the key skills and qualifications needed to thrive as a Bioinformatics Machine Learning Intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Calgary, AB? For Bioinformatics Machine Learning Internship jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Calgary, AB look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Calgary, AB with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Calgary, AB as of May 2026, with employment types broken down into 3% As Needed, 85% Full Time, 9% Part Time, and 3% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution.
Google DialogFlow Engineer (Python)

Google DialogFlow Engineer (Python)

Miratech

Calgary, AB • On-site, Remote

Full-time

Medical

Posted 3 days ago

Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across  5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities.

Responsibilities:

  • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI,  and Dialogflow CX.
  • Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
  • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
  • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
  • Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
  • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
  • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.
Qualifications
  • 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
  • Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
  • Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
  • Solid understanding of Google as a Software-as-a-Service platform.
  • Proven troubleshooting and analytical skills in complex, distributed environments.
  • Familiarity with SQL and experience working with relational databases.
  • Experience integrating web services into applications.
  • Proficient in Agile and Scrum development methodologies.
  • Bachelor’s degree in a technology-related field or equivalent experience.

Nice to have:

  • Experience with programming languages such as JavaScript, Python, or Node.js.
  • Familiarity with automated testing practices.

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. 
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work. 
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. 
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.