Part-Time Bioinformatics Scientist (Contract/Consultant)

El Capitan Biosciences is a molecular diagnostics company developing a high-fidelity, non-invasive host RNA transcriptomics platform for gastrointestinal (GI) disease detection, monitoring, and companion diagnostics. Our proprietary stool RNA-seq technology enables ultra-sensitive detection of human transcripts in complex biological samples, combined with advanced machine learning to drive clinical insights. Position Overview We are seeking a highly skilled Part-Time Bioinformatics Scientist to support RNA-seq data analysis and machine learning model development for biomarker discovery and clinical diagnostics. This is a flexible role ideal for individuals seeking to contribute to cutting-edge translational genomics projects on a part-time basis. Time Commitment 10 - 20 hours per week (flexible schedule) Hourly rate: $50 - $85/hr Key Responsibilities 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 Basic Qualifications 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 Preferred Qualifications 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 What You’ll Gain Opportunity to work on cutting-edge RNA-seq datasets from clinical samples Exposure to real-world biomarker discovery and diagnostic development Flexible, part-time engagement with meaningful scientific impact Collaboration with a highly experienced, multidisciplinary team #J-18808-Ljbffr El Capitan Biosciences