Part-Time Bioinformatics Scientist (ContractConsultant)

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.

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

Qualifications :

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

Additional Information :

What Youll 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

Remote Work :

Yes

Employment Type :

Intern