Highly successful Interns at AIMCo share many of the same characteristics. They are intellectually ... Curiosity and enthusiasm for learning and applying emerging technologies, including machine ...
Highly successful Interns at AIMCo share many of the same characteristics. They are intellectually ... Curiosity and enthusiasm for learning and applying emerging technologies, including machine ...
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?
| Aspect | Bioinformatics Machine Learning Internship | Bioinformatics Data Analyst Internship |
|---|---|---|
| Required Skills | Programming, machine learning, bioinformatics tools | Data analysis, statistical skills, bioinformatics tools |
| Work Environment | Research labs, biotech companies, academic institutions | Research labs, healthcare, biotech firms |
| Industry Usage | Developing algorithms, predictive models in bioinformatics | Analyzing 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 job categories do people searching Bioinformatics Machine Learning Internship jobs in Edmonton, AB look for?
The top searched job categories for Bioinformatics Machine Learning Internship jobs in Edmonton, AB 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:
Intern, Quantitative Analytics & Reporting (Fall 2026)
Edmonton, AB
Full-time
Posted 9 days ago
Key responsibilities
Develop, maintain, and enhance risk reports and risk metrics to support portfolio risk monitoring and management.
Apply quantitative analytical skills to analyze risk outputs, identify patterns and anomalies, and develop insights for investment decision-making.
Support the automation and improvement of risk analytics, reporting processes, and data workflows to enhance efficiency, accuracy, and scalability.
Job description
CLOSING DATE:
Highly successful Interns at AIMCo share many of the same characteristics. They are intellectually curious, diligent and responsible, with a desire to enhance their finance, data, programming and communications skills. They take advantage of their time at AIMCo by building relationships with our talented workforce and each other.
This is a 12-month internship with the possibility of extension.
***Job Posting will expire at 11:59pm MT on September 8, 2026***
The Quantitative Analytics & Reporting team is responsible for developing and maintaining risk analytics, reporting, and actionable insights that support effective investment risk management. Key responsibilities include:
Developing, maintaining, and enhancing official risk reports and risk metrics to support the daily monitoring and management of portfolio risk.
Defining, operating, and continuously improving daily risk workflows executed in partnership with external vendors and the internal Business Technology team.
Establishing, monitoring, and governing analytics production processes managed by the Business Technology team to ensure accuracy, timeliness, and reliability.
Automating reporting processes to improve data quality, operational efficiency, and the breadth of risk analytics available to investment and risk management teams.
Responsibilities
Apply strong quantitative analytical skills to analyze risk outputs,identifypatterns and anomalies, and develop insights that support investment decision-making.
Contribute to the development, enhancement, and automation of risk analytics, reporting processes, and data workflows to improve efficiency, accuracy, and scalability.
Support the production and monitoring of riskmetrics, ensuring thetimelyandaccuratedelivery of risk reports.
Identifyopportunities to streamlineprocesses through the application oflatesttechnologies and analytical tools to improve therisk data,analyticsand reporting capabilities
Assistin documenting analytical methodologies and operational processes to support governance, knowledge sharing, and process continuity.
Ideal Candidate Qualifications
Recent graduate from a quantitative oriented fields such as mathematics, statistics, computer science, data science, quantitativefinanceor a related field. Graduate degree is strongly preferred.
Strong technical skillset (SQL, Python,PowerBI, etc.) and passion in developing data-driven analytical solutions.
Strong interest in financial markets, investment management, and risk analytics, with a solid foundation in quantitative methodologies and risk management concepts.
Curiosity and enthusiasm for learning and applying emerging technologies, including machine learning and artificial intelligence to solve business problems and improve processes.
Excellent research, analytical, and problem-solving skills, with the ability to investigate complex issues and develop practical solutions.
Exceptional attention to detail and a commitment to producing high-quality,accuratework.
Progress toward, or interest in pursuing, professional designations such as CFA or FRM is considered an asset.
Success Measures
By the end of your term, you will have gained practical experience applying programming, quantitative analysis, and emerging technologies to real-world risk management and analytics challenges. You will develop a practical understanding of how investment risk is measured,monitored, and managed within a leading institutional investor, gaining insights that extend well beyond the classroom. Through hands-on work, mentorship, and collaboration with experienced professionals, you will strengthen your technical and analytical capabilities, deepen your knowledge of the investment management industry, and build relationships that support your long-term professional growth.
#LI-ET1
We are excited to meet you. Please submit your resume or CV to be considered for this opportunity. Applications are being reviewed on a rolling basis and we will be in touch with any questions.
Final candidates will be asked to undergo a security screening, which includes a credit bureau and a criminal record investigation, the results of which must be acceptable to AIMCo.
ALERT - Be on the lookout for AIMCo career opportunities advertised through third parties that request an application fee or too much information. To verify, all opportunities are posted on aimco.ca/jobs
At AIMCo, we draw upon the differences in who we are, where we come from and the way we think to deliver results for the Albertans who rely on us. We offer an inclusive, modern workplace where well-being is prioritized, and colleagues are enabled to do their best work. Our team members are motivated by our purpose and committed to creating long-term value for our clients and their beneficiaries.
About Alberta Investment Management
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