Part-Time Bioinformatics Scientist – Contract/Consultant

Job not on LinkedIn

🕒 May 15

🏄 California – Remote

🏄 California – Remote

💵 $50 - $85 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

💼 Consultant

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Fapon

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

Fapon is a leading company in the in-vitro diagnostics (IVD) industry, providing high-performance reagents, core diagnostic raw materials, and open platform solutions to IVD companies worldwide. With over 1,400 products and partnerships with more than 2,500 global companies, Fapon excels in offering innovative diagnostic solutions. The company focuses on enhancing early, accurate, convenient, and accessible diagnostics to improve global healthcare outcomes. Known for innovation and a strong patent portfolio, Fapon is committed to advancing diagnostics technology for the benefit of human health.

📋 Description

• 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

• 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

• 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