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Bioinformatics Machine Learning Internship Jobs in Vancouver, BC

Research Associate

Vancouver, BC ยท On-site

CA$6.3K/mo

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...

Research Associate

Vancouver, BC ยท On-site

CA$6.3K/mo

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science ...

... and Translational Bioinformatics) to join an innovative translational research program ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...

... and Translational Bioinformatics) to join an innovative translational research program ... Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial ...

Delivery Engineer - Canada

Vancouver, BC ยท On-site

CA$80K - CA$120K/yr

Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits 1. Health Insurance, PTO, stock option 2. The ...

Delivery Engineer - Canada

Vancouver, BC ยท Remote

CA$80K - CA$120K/yr

Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits 1. Health Insurance, PTO, stock option 2. The ...

Postdoctoral Research Fellow

Vancouver, BC ยท On-site

CA$70K - CA$80K/yr

... bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position ... Strong understanding of machine learning or AI methods applied to health or biomedical data.

Actuarial Analyst II

Burnaby, BC ยท On-site

CA$75K - CA$103K/yr

Consideration will also be given to candidates with relevantprojector internship experience ... Exposure to machine learning algorithms, clustering, or advanced predictive modeling. * Familiarity ...

Bioinformatics Machine Learning Internship information

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 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 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 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 job categories do people searching Bioinformatics Machine Learning Internship jobs in Vancouver, BC look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Vancouver, BC are:

Infographic showing various Bioinformatics Machine Learning Internship job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Do you dream big and want to make an impact? Work with us.

AbCellera

Vancouver, BC โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

We are always interested in expanding our teams with top talent: currently focused on hiring for Protein Science, Drug Development, Manufacturing, and Quality. Also interested in people who can meaningfully contribute to these teams: Translational Biology, Engineering, Bioinformatics, Machine Learning, IT, Laboratory Management, and Software Development. We receive a large volume of applications and are only able to contact those who are selected for an interview. All communication from our Talent Discovery team will come from an @abcellera.com email address.

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