Company Description UMATTR provides premium AI education and practical programs designed to help individuals navigate an evolving, AI-driven job market. Learners can start with free tools, progress into hands-on AI courses, and advance through Career Intelligence or consulting offerings.

The organization focuses on building real-world skills, supporting smarter career decisions, and maintaining competitiveness in the AI era. UMATTR emphasizes clarity, practical outcomes, and accessible pathways for growth.

Role Description The Junior Computational Biologist will support data-driven research projects that bridge AI, data science, and biological insights in a full time, remote role. Day-to-day responsibilities include collecting, cleaning, and analyzing biological and experimental data using statistical and computational methods.

The role involves applying bioinformatics workflows, collaborating with senior team members on research design, and contributing to interpretation and visualization of results.

The Junior Computational Biologist will help prepare documentation, reports, and learning materials that translate complex findings into accessible insights for internal and external stakeholders. This position requires proactive communication in a remote environment and a strong interest in the intersection of AI, data science, and life sciences.

Qualifications

- Candidates should possess skills in Statistics and Data Analysis for working with experimental and biological datasets.
- Candidates should possess skills in Data Science for building and evaluating models, processing data pipelines, and generating insights.
- Candidates should possess skills in Bioinformatics for handling biological sequences, omics data, and standard computational biology tools.
- Candidates should possess skills in Research for designing experiments, reviewing scientific literature, and documenting methodologies and results.
- Familiarity with programming languages commonly used in computational biology (such as Python or R) is beneficial.




- Understanding of basic molecular biology, genomics, or related life sciences is beneficial.
- Strong written and verbal communication skills and the ability to collaborate effectively in a remote team are important.
- A bachelor’s degree in computational biology, bioinformatics, data science, statistics, computer science, or a related field is preferred.

Helpful but Not Required
- Previous computational biology or bioinformatics research experience
- Academic laboratory or research-assistant experience
- Experience working with genomic, transcriptomic, proteomic or other omics datasets
- Experience applying machine learning to scientific or biological problems
- Familiarity with AI-assisted life-sciences research tools
- Experience preparing scientific reports, educational content or research presentations
- Publications, conference posters, academic projects or independent research
- Familiarity with cloud computing, containers or GPU-based scientific workflows
- Experience contributing to collaborative software or research projects

Who May Be a Strong Fit You may be a strong candidate if you are:
- A recent graduate in computational biology, bioinformatics or a related discipline
- An early-career data scientist with biological or life-sciences knowledge
- A biological-sciences graduate with growing programming and analytical skills
- A researcher interested in responsible AI applications within the life sciences
- A scientific programmer who can interpret results beyond the technical output
- A candidate with relevant academic, research, software or independent projects

UMATTR values practical ability,



scientific judgment, curiosity and the willingness to continue learning. Candidates do not need to be experts in every area listed.

Mandatory Career Circle Requirement

All applicants must create a free qualified profile on Career Circle:

https://careercircle.app

Your Career Circle profile must include:

- A professional introduction
- Your résumé and LinkedIn profile
- Operations or programme examples
- Relevant tools and systems
- A project that demonstrates organization and follow-through

Candidates must submit their Career Circle profile URL with their application. Applications that do not include a completed Career Circle profile URL may not proceed to the next stage.

Application Process

Please submit

- Your résumé
- Your LinkedIn profile
- Your Career Circle profile URL
- A brief description of your computational biology, bioinformatics or data-science experience
- A list of the programming languages, scientific tools and platforms you have used
- One relevant academic, research, software or personal project
- A brief explanation of the area of computational biology or life-sciences AI that interests you most

Qualified candidates will receive a ten-question pre-screening questionnaire before interviews. The questionnaire will help UMATTR better understand each candidate’s experience, technical approach, scientific judgment, communication style and interest in the role.

Shortlisted candidates may then be invited to a remote interview with members of the UMATTR team.

Equal Opportunity

UMATTR welcomes applications from candidates with different professional, educational and cultural backgrounds.

We encourage recent graduates, early-career professionals and candidates with strong independent or project-based experience to apply when they can demonstrate relevant skills and a genuine interest in computational biology, responsible AI and the life sciences.

UMATTR

Learn. Build. Grow. Lead.

📌 Junior Computational Biologist (Canada)
🏢 UMATTR
📍 Canada