ApplyLead/Staff Machine Learning Scientist
Posted about 17 hours agoViewed
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💎 Seniority level: Staff, 6-10 years
📍 Location: United States
💸 Salary: 184300.0 - 230450.0 USD per year
🔍 Industry: Oncology
🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen'sBiotechnologyMedicalGeneticsHealth Diagnostics
⏳ Experience: 6-10 years
🪄 Skills: PythonSQLData AnalysisGitMachine LearningMLFlowNumpyPyTorchCross-functional Team LeadershipAlgorithmsPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationRESTful APIsData visualizationData modeling
Requirements:
- PhD in Bioinformatics, Computer Science, Statistics, or related field with a strong emphasis on cancer epi/genomics with 6-10 years of experience post-PhD.
- Deep understanding of core ML models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks and contrastive learning
- Hands-on experience developing and applying deep learning models, large language models (LLMs), and multimodal foundation models
- Proficient in Python and its scientific computing stack (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
- Strong cross-functional communication skills, with the ability to work collaboratively across disciplines
- High scientific rigor and a growth mindset; eager to both teach and learn new computational and biological concepts
Responsibilities:
- Design, implement, and validate innovative algorithms and statistical methods to analyze large-scale data sets related to cancer detection
- Foster a culture of innovation, collaboration, and scientific excellence
- Work closely with molecular biologists and clinical scientists to solve challenging problems
- Contribute to experimental design and ensure data integrity and quality control
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