LYNA
Computational Biology & AI (Internship)
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Computational Biology & AI Internship
Unpaid | 3 months | Remote
About Lyna
Lyna is looking for a curious and driven Computational Biology Intern to join our team and work at the intersection of AI, biology, and computational science. This is an opportunity to gain hands-on experience applying computational methods to real-world biological problems while working in a fast-moving, research-oriented environment.
What You’ll Do
- Apply computational and statistical methods to biological and biomedical datasets
- Analyze, clean, and visualize biological data
- Develop and improve computational workflows for biological research
- Explore applications of AI/ML to genomics, drug discovery, or other areas of computational biology
- Work with tools and programming languages such as Python and relevant bioinformatics libraries
- Conduct literature reviews and translate scientific findings into computational approaches
- Collaborate with the team to design experiments, analyze results, and communicate findings
- Document analyses, methodologies, and results clearly
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What We’re Looking For
- Strong interest in computational biology, bioinformatics, AI, or related fields
- Currently pursuing or recently completed a degree in computational biology, bioinformatics, biology, computer science, biotechnology, or a related discipline
- Comfortable with Python and/or R
- Basic understanding of statistics, data analysis, and biological concepts
- Strong analytical and problem-solving mindset
- Self-starter who enjoys learning new technologies and experimenting with ideas
- Ability to work independently in a fast-paced environment
Bonus Skills
- Experience with machine learning or deep learning
- Familiarity with genomics, transcriptomics, or other omics datasets
- Experience with tools such as NumPy, pandas, scikit-learn, PyTorch, Biopython, or similar
- Knowledge of biological databases and computational pipelines
- Experience with Git/GitHub
- Research experience or previous computational biology projects
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What You’ll Gain
- Hands-on experience working on real computational biology and AI projects
- Exposure to modern AI/ML and bioinformatics workflows
- Opportunity to build a strong portfolio of technical and research projects
- Experience working in an early-stage, innovation-focused environment
- Mentorship and practical experience at the intersection of AI and biology
- Potential opportunity to transition into a paid role based on performance and fit
Compensation
This is an unpaid internship. The role is intended to provide practical experience, mentorship, and portfolio-building opportunities. Any future paid opportunity would be based on performance, project needs, and mutual fit.
Duration: 3 months
📍 Location: [Remote / Location]
🧬 Team: Computational Biology / AI
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