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2 days ago
This internship provides hands-on experience in designing and prototyping computational workflows for analyzing genomic datasets and generating pilot research outputs.
The successful candidate will be responsible for curating and prioritizing genetic variants, building small-scale pipelines for processing sequencing/genotyping data, and developing basic trait-related scoring methods in a research-only context.
Key Responsibilities:- Curate and prioritize genetic variants from public resources.
- Build small-scale pipelines for processing sequencing/genotyping data.
- Develop basic trait-related scoring methods (polygenic indices, QC metrics) in a research-only context.
- Current undergraduate/postgraduate student in Bioinformatics, Computational Biology, Human Genetics, Biomedical Engineering, Data Science, or related fields.
- Familiarity with genome databases (Ensembl, NCBI Gene/ClinVar/dbSNP).
- Comfort with Python/R, Linux command line, and version control (Git).
- Basic understanding of GWAS concepts and population genetics.
- Strong interest in applying data science methods to genomics research.
- Practical exposure to bioinformatics pipelines and statistical genetics.
- End-to-end experience: variant curation → pipeline → scoring → reporting.
- Mentorship from researchers.
- Opportunity to contribute to exploratory academic research.
- Experience with sequencing/imputation tools.
- Familiarity with HPC or cloud environments.
- Knowledge of Jinja2/Streamlit/Flask for simple dashboards.
- Prior work with large-scale public datasets.
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