About the role
AI summarisedThis is an internship role at a biotech/pharma company focusing on applying machine learning and computational biology methods to analyze biological data. The intern will work on developing predictive models and analyzing high-throughput genomic, transcriptomic, or proteomic data to support drug discovery and development.
BiotechFull-time
Key Responsibilities
- Develop and implement machine learning models to analyze biological datasets
- Process and analyze high-throughput genomic, transcriptomic, or proteomic data
- Collaborate with cross-functional teams to identify biological questions and design computational approaches
- Contribute to the development of pipelines for data preprocessing and analysis
- Present findings and progress to team members and stakeholders
- Document code and methodologies for reproducibility
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computational Biology, Bioinformatics, Machine Learning, Statistics, or a related field
- Strong programming skills in Python or R
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with biological data types (e.g., genomics, transcriptomics, proteomics)
- Understanding of statistical modeling and data analysis techniques
- Excellent communication and teamwork skills
- Ability to work independently and manage multiple tasks
- Prior experience in computational biology or bioinformatics is a plus