Natera

Lead/Staff Scientist – Machine Learning and Bioinformatics

Natera

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $163,200 - $204,000 per year

Job Level

Senior

Tech Stack

AirflowDockerNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Implementing and expanding state-of-the-art machine learning methods to enhance Natera's oncology product portfolio focused on epigenomics.
  • Develop and validate cutting-edge machine learning methods to solve problems in diagnostics.
  • Contribute to model interpretability, uncertainty estimation, and reproducibility best practices.
  • Design robust feature engineering and extraction pipelines tailored to biological data.
  • Prototype and productionize models using scalable ML infrastructure tools such as MLflow, Airflow, and Docker.
  • Collaborate closely with molecular biologists on experimental design and quality control.
  • Champion a culture of innovation, collaboration, and scientific excellence.
  • Actively participate in code and design reviews.

Requirements

  • PhD in Computer Science, Statistics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD.
  • Demonstrated experience in developing core ML models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks, with a focus on biological data (e.g., DNA sequencing data).
  • Profound understanding of deep learning models, large language models (LLMs), and multimodal foundation models.
  • Proficient in Python and its scientific computing ecosystem (e.g., NumPy, Pandas, Scikit-learn).
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX; familiarity with LLM-specific tools like LangChain; and model deployment via platforms like HuggingFace.
  • Excellent cross-functional communication skills.
  • Strong eagerness to both teach and learn about new machine learning methods and biology concepts.