Part-Time Bioinformatics Scientist (Contract/Consultant)

Genegeniedx Corporation
Pleasanton, CA, United States
3 months ago

Role details

Contract type
Internship / Graduate position
Employment type
Part-time (≤ 32 hours)
Compensation
$104,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Bash Shell Bioinformatics Computational Biology Computer Programming Data Visualization Python (Programming Language) Machine Learning Tensorflow High Performance Computing Pytorch Large Language Models
+3 more
Deep Learning Generative AI Scikit Learn

Job description

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, + 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

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 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

Benefits & conditions

$50-$50

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