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Bioinformatics Machine Learning Internship Jobs in Edmonton, AB

From there, you will assess whether and how AI or machine learning can address those problems ... internship. What You Bring: * Enrolled in a Post secondary degree program at U of Alberta, U of ...

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 Edmonton, AB? For Bioinformatics Machine Learning Internship jobs in Edmonton, AB, the most frequently searched job titles are:
What cities near Edmonton, AB are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Edmonton, AB with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Edmonton, AB as of May 2026, with employment types broken down into 3% As Needed, 40% Full Time, and 57% Part Time. Highlights an 100% Physical job distribution.

Associate Machine Learning Developer (Fall 2026)

AltaML

Edmonton, AB • On-site

Other

PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Us: 

AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.

We are a company like no other - we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.

We don't hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you're passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!

About the Role:

Please note: This is a 4 or 8-month opportunity for current students looking for work experience starting in September 2026.

As an Associate Machine Learning Developer, you will have a chance to work on public sector ML projects and deliver real solutions to our Public Sector Partners including Service Alberta, other departments, and even other levels of government.  GovLab AI's mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in high demand across Alberta and around the world.   

Our program experience is unique and designed to give you hands on experience to prepare you for professional success. During the 4 month period you will be placed on a team to work on specific use case(s) identified by our Public Sector Partners. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will also be given resources and mentorship to help with your growth and career advancement. The teams will be led by the Project Delivery Manager utilizing AltaML methodology to create working models for the viable use case(s), and help guide the teams to make recommendations on how best to implement the solution with our Partners. 

Our ultimate goal is to set you up for success and have you hired in the future after your internship!

Location: This posting is for an existing vacancy for a candidate based in Edmonton, Calgary, Toronto.
 
 
Office as a Resource & Participating Universities: This opportunity is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary, U Waterloo, U of Toronto. As this is a Mitacs funded opportunity, please reach out if you have questions regarding your eligibility. 
 
 
Application Process:
 
Step 1: Apply
Step 2: You will be notified prior to the application deadline if you are moving to the next stage (via email correspondence)
Step 3: Online technical assessments (48 hour timed assessment)
Step 4: 45 minute interview
Step 5: Background checks and offer
Step 6: Welcome to AltaML!
What You'll Do:
  • Participate in team planning sessions and educational presentations
  • Review the data to understand its overall scope and structure 
  • Identifying the right metric to measure the success of the model and project
  • Work in teams to pre-process the data for analysis and model development
  • Uncover trends, insights, and key features to help guide where ML solutions can be applied 
  • Develop models around the available data and suggested set of problems 
  • For viable use cases develop proof of concept working models
  • Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business 
  • Communicating and presenting your teams work to AltaML and Public Sector Partners
  • Get familiarity with various data processing tools and exposure to AI/ML algorithms
  • Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques
  • You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement. 
What You Bring:
Minimum Requirements:
  • Enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto for the duration of the internship term
  • General knowledge of and experience developing in Python and data science libraries/packages such as pandas, scikit-learn, matplotlib
  • Understanding of Machine Learning and software development concepts 
  • Must be able to work 40 hours per week during the internship 
  • Must have a valid citizenship and/or work permit that legally allows you to work full-time during the internship term
Nice to have:
  • Exposure to version control/Git
  • Experience with a cloud platform such as Azure, AWS or GCP
  • Ability to work independently and within a team environment
  • Well-developed communication skills, with the ability to engage in client meetings and deliver professional presentations
$0 - $0 one-time
Equal Opportunities
AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don't hesitate to let us know.
 
AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Metis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.
 

We Look for A-Players Who:

  • Express our core values
  • Are hungry for knowledge
  • Want to learn new skills
  • Are respectful
  • Collaborate with others across the whole company
  • Share knowledge with coworkers
  • Educate and promote AI and ML concepts both internally and externally
  • Have a high work ethic and are self-motivated

Our Perks:

Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.

Make an Impact - Witness the impact your work contribution has on the success of our company.

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.

Competitive Benefits - For all full time, permanent employees.

Office as a Resource -  Hybrid work environment with state-of-the-art office spaces that ignite collaboration.

Big Slack Energy - IYKYK.

Our Culture:

You will be working in a high-paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.

You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You'll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.

Core Values:

At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer's expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

  • Gritty - We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.
  • Agile - We make decisions based on "little bets" creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome. 
  • Humble - We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.  
  • Happy - We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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