ML Engineer - Omics Data

New

Skills

Genomics Machine Learning Pytorch TensorFlow

Join our team as a Senior Machine Learning Engineer to work on building and deploying ML models over omics data such as genomics and transcriptomics. You will be responsible for integrating diverse biological signals from omics databases into pipelines, developing foundation models for biology, designing ML systems for a biological knowledge graph, and applying graph learning methods to biology.

Key Responsibilities
  • Build and deploy ML models over omics data
  • Integrate biological signals from omics databases
  • Develop foundation models for biology
  • Design ML systems for a biological knowledge graph
  • Apply graph learning methods to biology
  • Lead ML decisions, mentor engineers, and define best practices
Required Skills & Qualifications
  • Bachelor's degree in CS, math, ML, bioinformatics, or related field
  • 2+ years tech lead experience in a production ML environment
  • Hands-on experience with omics data and resources
  • Familiarity with omics and biomedical databases
  • Strong experience with TensorFlow and PyTorch
  • Experience applying NLP/LLM techniques to scientific text

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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