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Data Science Internship Biotech Jobs in Calgary, AB

Collect and analyze real-world GNSS/INS data * Refine functional and performance requirements for ... Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ...

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Collect and analyze real-world GNSS/INS data * Refine functional and performance requirements for ... Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ...

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Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ... We are putting data to work to boost efficiency, productivity, quality, and safety across ...

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Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ... We are putting data to work to boost efficiency, productivity, quality, and safety across ...

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... internship student to add to our Agriculture Engineering team . This role will focus on Software ... Collect, process, and analyze real-world GNSS/INS data from agricultural operating environments ...

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... internship student to add to our Agriculture Engineering team . This role will focus on Software ... Collect, process, and analyze real-world GNSS/INS data from agricultural operating environments ...

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Enrolled in Geomatics, Computer Science or other relevant engineering at an accredited post ... We are putting data to work to boost efficiency, productivity, quality, and safety across ...

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Data Science Internship Biotech information

What is a data science internship in biotech?

A Data Science Internship in Biotech is a temporary, supervised position where interns apply data science techniques to biological and medical data within a biotechnology company. Interns typically work on real-world projects involving data analysis, machine learning, or bioinformatics to help solve challenges in drug discovery, genomics, or healthcare. The internship provides practical experience, helps interns develop valuable technical and domain-specific skills, and can lead to future job opportunities in the biotech industry.

What types of projects does a data science intern typically work on in biotech?

Data Science Interns in biotech companies often contribute to projects involving the analysis of large-scale biological data, such as genomic sequences or clinical trial results. They might work on building predictive models to assist with drug discovery, automating data processing workflows, or visualizing complex datasets for research teams. Interns regularly collaborate with biologists, chemists, and other data scientists, gaining exposure to interdisciplinary teamwork and the unique challenges of working with sensitive, high-dimensional biomedical data.

What are the key skills and qualifications needed to thrive as a data science intern in biotech, and why are they important?

A Data Science Intern in Biotech should have a solid understanding of statistics, data analysis, and programming (especially Python or R), typically supported by coursework in computer science, biology, or related fields. Familiarity with data visualization tools, bioinformatics databases, and platforms like Jupyter Notebook or Tableau is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication help interns translate complex data into actionable insights for interdisciplinary teams. These skills enable interns to contribute meaningfully to biotech research by extracting and communicating value from large, complex biological datasets.

What is the difference between Data Science Internship Biotech vs Data Analyst?

AspectData Science Internship BiotechData Analyst
Required CredentialsTypically pursuing or completed a degree in Data Science, Biotechnology, or related fieldsUsually holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsVarious industries including finance, healthcare, marketing
Industry UsageApplied to biotech research, drug development, genomicsApplied to business insights, reporting, and decision-making

While both roles involve data analysis skills, a Data Science Internship in Biotech focuses on applying data science techniques to biotech-specific problems, often requiring knowledge of biology or biotech tools. A Data Analyst generally works across industries, emphasizing data reporting and visualization. The internship provides hands-on experience in biotech settings, whereas a Data Analyst role is broader and industry-agnostic.

What are popular job titles related to Data Science Internship Biotech jobs in Calgary, AB?

For Data Science Internship Biotech jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Data Science Internship Biotech jobs in Calgary, AB look for?

The top searched job categories for Data Science Internship Biotech jobs in Calgary, AB are:

Infographic showing various Data Science Internship Biotech job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Intern, Quantitative Analytics & Reporting (Fall 2026)

Alberta Investment Management Corporation

Calgary, 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.

  • Contribute to the development, automation, and improvement of risk analytics, reporting processes, and data workflows.

  • Support the production, monitoring, and timely delivery of risk metrics and reports.


Job description

CLOSING DATE:

September 9, 2026OpportunityAre you looking to complement your academic knowledge with professional 'real world' experience? An intern position at AIMCo might be the opportunity for you to gain the experience you need to launch your career while contributing to hundreds of thousands of Albertans' financial security.
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

Next Steps

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.