Data Development Intern

Position Type: Part-time, ongoing (10-20 hours per week, flexible working hours)

Department: Bioinformatics & Data Science

Closing Date: September 14th, 2026

Compensation: $20/hour To Apply: Apply by email to [email protected] with "Your Name, Data Development Intern" in the subject line. Include your resume, GitHub profile or examples of previous development work if available, brief summary of relevant technical experience, and weekly availability. Applicants will be expected to perform a short practical programming exercise. Applications received through LinkedIn will not be considered.

About Us: 48Hour Discovery, a Canadian biotechnology company founded in 2017, specializes in peptide-based drug discovery. Using an innovative target screening technology, 48HD accelerates the identification of promising drug leads. The company's mission is to significantly reduce the cost, time, and risk involved in developing new therapies. With a strong focus on innovation, 48HD is dedicated to advancing drug discovery for improved healthcare solutions.

Role Description

We are looking for a part-time Python / R Data & Cloud Developer to help maintain and improve our internal scientific data-processing and analysis systems. The role will involve supporting an existing Python/Flask application, Python and R data-processing scripts, cloud-based workflows, and database integrations. The main focus is to maintain and troubleshoot existing systems, automate repetitive workflows, and support the development of new internal data-analysis functions.





You will work closely with our data science team and researchers in a biotechnology and drug-discovery workplace.

Key Responsibilities

- Maintain and troubleshoot an existing Python/Flask web application and related internal tools.
- Maintain and improve Python data-processing scripts for data cleaning, transformation, automation, and large scientific datasets.
- Maintain and modify R analysis scripts for data analysis, visualization, and report generation.
- Support cloud-based workflows, including AWS, Linux environments, and data-processing pipelines.
- Work with SQL/MySQL databases and maintain integrations between applications, databases, and analysis workflows.
- Investigate technical issues, improve code reliability, and help automate repetitive scientific data workflows.
- Support biological and experimental datasets used in biotechnology and drug discovery.

Qualifications & Skills:
- A bachelors degree or equivalent practical experience in Computer Science, Software Engineering, Data Science, Bioinformatics, Computational Biology, Data Engineering, or related field. Strong practical experience may substitute for formal education.
- Strong programming skills in Python.
- Working knowledge of R, JavaScript, HTML, and CSS.
- Good knowledge of SQL and relational databases.
- Experience with Git/GitHub and Linux environments.
- Ability to understand, maintain, and safely modify an existing codebase.
- Ability to work independently and communicate clearly.
- Experience with AWS, data pipelines/ETL, large-scale data processing, REST APIs, Docker, bioinformatics, NGS data, or machine-learning data preparation would be an asset.
- Previous biotechnology experience is helpful but not required.

📌 Data Development Intern (Edmonton)
🏢 48Hour Discovery
📍 Edmonton