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RefinedScience

Advance care by bringing together the best science, data and minds to discover pathways to life beyond disease.

Bioinformatics Machine Learning Intern

Machine Learning EngineerMachine Learning EngineerInternshipRemoteEntry LevelTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$34 - $38 / hour

Seniority

Entry Level

Postgraduate DegreeEnglishPython

Job Description

• 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

Job Requirements

  • Current Ph.D. candidate in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related quantitative field
  • Single-cell omics experience: Demonstrated ability to process, analyze, and interpret single-cell data (scRNA-seq, scATAC-seq, CITE-seq, or spatial transcriptomics) using frameworks such as Scanpy/scverse, Seurat, or Bioconductor
  • Machine learning expertise: Applied experience developing and evaluating ML/deep learning models on biological data, including neural network architectures (GNNs, transformers, autoencoders), model selection and benchmarking, and integration of ML approaches into analytical workflows
  • Programming proficiency: Python and/or R for data analysis, statistical modeling, and visualization
  • Statistical foundation: Understanding of statistical methods for biological data (hypothesis testing, differential expression, multiple testing correction, clustering)
  • Strong problem-solving skills and ability to communicate complex insights effectively.

Benefits

  • Compensation: $34-$38 per hour

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