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Bioinformatics with AI & Machine Learning Internship

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Applications closed: 23/10/2026

Skills for this role

Skills we detected for this role.

  • Machine Learning
  • Data Analysis
  • Python
  • Deep Learning
  • PyTorch
  • TensorFlow

Opportunity brief

Harvinn Technologies is actively hiring for the role of Bioinformatics with AI & Machine Learning Internship!

About the Organization:

Harvinn Technologies is offering an internship focused on the intersection of bioinformatics, artificial intelligence, and machine learning. This opportunity is designed to provide practical exposure to computational approaches used in biological and life-science data analysis, allowing interns to engage with interdisciplinary projects and develop an understanding of how AI and machine learning can support bioinformatics applications.

Roles and Responsibilities:

  • Support bioinformatics projects involving the organization, processing, and analysis of biological data.
  • Assist in exploring how artificial intelligence and machine learning can be applied to bioinformatics challenges.
  • Contribute to the preparation, cleaning, and structuring of datasets for analytical use.
  • Participate in developing and evaluating computational approaches for biological data analysis.
  • Review project outputs and help identify inconsistencies, errors, or opportunities for improvement.
  • Conduct research on relevant developments in bioinformatics, artificial intelligence, and machine learning.
  • Collaborate with project teams to discuss findings, progress, and implementation requirements.
  • Document analytical processes, observations, results, and project-related learnings.
  • Assist in presenting insights and summarizing outcomes from assigned internship activities.

Job Summary:

This is a 3-month internship opportunity with Harvinn Technologies for individuals interested in exploring the convergence of bioinformatics, artificial intelligence, and machine learning. Through practical project involvement, research, data-focused activities, and collaboration, interns can gain meaningful exposure to interdisciplinary computational work and build a foundation for further learning in these evolving fields.

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