Genomic Selection Research Intern
Budget: ₹100 – ₹400 INR
I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates.
Here’s where I need your help:
• Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks.
• Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense.
• Performance evaluation & analysis – rigorous cross-validation, predictive-ability metrics, clear visualisations and short interpretive write-ups.
We’ll collaborate through a shared Git repo; reproducible R scripts, well-commented notebooks and a comparative results table/figures are the acceptance criteria. If you’re comfortable working in R and excited by genomic prediction research rather than a routine service job, let me know how you’ve tackled similar pipelines and we can get started.
Here’s where I need your help:
• Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks.
• Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense.
• Performance evaluation & analysis – rigorous cross-validation, predictive-ability metrics, clear visualisations and short interpretive write-ups.
We’ll collaborate through a shared Git repo; reproducible R scripts, well-commented notebooks and a comparative results table/figures are the acceptance criteria. If you’re comfortable working in R and excited by genomic prediction research rather than a routine service job, let me know how you’ve tackled similar pipelines and we can get started.