Bioinformatics Machine Learning Intern
New
R
RefinedScienceBioinformatics, Biotech
United States (hybrid or remote)InternshipEntry
Salary34 - 38 USD per hour
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonMachine LearningPyTorchTensorflowRDeep LearningGenerative AI
Requirements
- Current Ph.D. candidate in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related quantitative field
- Demonstrated ability to process, analyze, and interpret single-cell data (scRNA-seq, scATAC-seq, CITE-seq, or spatial transcriptomics)
- Experience using frameworks such as Scanpy/scverse, Seurat, or Bioconductor
- Applied experience developing and evaluating ML/deep learning models on biological data
- Experience with neural network architectures (GNNs, transformers, autoencoders)
- Experience with model selection and benchmarking
- Proficiency in Python and/or R for data analysis, statistical modeling, and visualization
- Understanding of statistical methods for biological data (hypothesis testing, differential expression, multiple testing correction, clustering)
Responsibilities
- Analyze single-cell and multiomics datasets to extract biological insights supporting precision medicine and drug development programs
- Apply and evaluate machine learning and deep learning approaches to single-cell data for tasks such as cell type classification, biomarker discovery, and patient stratification
- Explore and prototype generative AI and LLM-based approaches to accelerate biological data interpretation and scientific workflows
- Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects
- Document and optimize computational workflows following reproducible research best practices
- Present findings through technical reports, visualizations, and presentations to cross-functional teams
View Full Description & ApplyYou'll be redirected to the employer's site
