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Fapon

Part-Time Bioinformatics Scientist – Contract/Consultant

Fapon

Part-Time Bioinformatics Scientist supporting RNA-seq data analysis for biomarker discovery. Contributing to cutting-edge translational genomics projects at El Capitan Biosciences.

Posted 5/15/2026part-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $50 - $85 per hourWebsite

Tech Stack

Tools & technologies
CloudLinuxPythonPyTorchScikit-LearnTensorflowUnix

About the role

Key responsibilities & impact
  • Analyze RNA-seq datasets, including preprocessing, QC, normalization, and differential expression analysis
  • Develop and maintain bioinformatics pipelines for transcriptomic data
  • Apply statistical and machine learning methods to identify diagnostic or predictive biomarkers
  • Build and evaluate predictive models, including deep learning approaches
  • Explore applications of large language models (LLMs) or multimodal AI in biological data analysis
  • Collaborate with cross-functional teams to interpret results and guide experimental design
  • Communicate findings through reports, visualizations, and presentations

Requirements

What you’ll need
  • PhD candidate or PhD degree in Bioinformatics, Computational Biology, Biology, or a related field
  • Hands-on experience with RNA-seq data analysis
  • Strong programming skills in R and/or Python
  • Familiarity with Linux/Unix environments and proficiency in bash scripting
  • Formal training in statistics and machine learning
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Experience developing or applying deep learning models
  • Familiarity with large language models (LLMs) or generative AI applications in biology
  • Experience with NGS pipelines and tools (e.g., STAR, Salmon, nf-core, etc.)
  • Experience working in high-performance computing (HPC) or cloud environments
  • Strong data visualization and communication skills

Benefits

Comp & perks
  • Flexible, part-time engagement with meaningful scientific impact
  • Opportunity to work on cutting-edge RNA-seq datasets from clinical samples
  • Collaboration with a highly experienced, multidisciplinary team

ATS Keywords

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Hard Skills & Tools
RNA-seq data analysisprogramming in Rprogramming in Pythonbash scriptingstatistical methodsmachine learningdeep learningdata visualizationNGS pipelineshigh-performance computing
Soft Skills
collaborationcommunicationinterpretation of resultsguiding experimental design
Certifications
PhD in BioinformaticsPhD in Computational BiologyPhD in Biology