Staff Machine Learning Scientist (Medtech)

TL;DR

Staff Machine Learning Scientist (Medtech): Developing algorithms for early, blood-based detection tests for cancer with an accent on deep learning and molecular signal identification. Focus on building robust models for biological data, applying interpretability techniques, and collaborating with cross-functional teams to advance cancer diagnostics.

Location: Hybrid (Brisbane, California) or Remote (US)

Salary: $199,675 - $283,500

Company

hirify.global is a company dedicated to changing the entire landscape of cancer through the development of blood-based early detection tests.

What you will do

• Pursue cutting-edge AI research applied to biological problems including cancer research, genomics, and immunology.
• Build and fine-tune models to identify biological changes resulting from disease.
• Develop high-accuracy models that generalize robustly to new data.
• Apply contemporary interpretability techniques to identify underlying biological mechanisms.
• Collaborate with ML Engineering to ensure computational infrastructure supports optimal model training and iteration.

Requirements

• PhD in Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics with an AI emphasis.
• 6+ years of post-PhD industry experience achieving impactful results using ML/DL modeling techniques.
• Theoretical and practical expertise in GLM, kernel machines, decision trees, neural networks, and boosting.
• Deep understanding of Large Language Models (LLMs) and other foundation models.
• Proficiency in Python, R, Java, C, or C++.
• Experience with ML frameworks such as PyTorch, TensorFlow, or Jax, and platforms like Hugging Face.

Nice to have

• Domain-specific experience in computational biology, genomics, or proteomics.
• Experience building DL models for genomic data and knowledge of DNA foundation models.
• Experience with NGS data analysis and bioinformatic pipelines.
• Experience with Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment with automated testing and version control.

Culture & Benefits

• Comprehensive medical, financial, and other benefits.
• Eligibility for equity and cash bonuses.
• Collaborative, cross-functional research environment.
• Flexible work arrangement: Hybrid (2-3 days in office) or full remote.