5 дней назад
Senior Scientist II, Computational Pathology, Precision Medicine Pathology (AI)
109 500 - 208 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Scientist II, Computational Pathology, Precision Medicine Pathology (AI) (Machine Learning/Digital Pathology): Developing and applying machine learning models and pipelines for histopathology and spatial omics datasets with an accent on computer vision, deep learning, and biomarker discovery. Focus on training and validating segmentation, object detection, and classification models, integrating molecular and image data, and deploying scalable AI/ML solutions for precision medicine research.
Location: North Chicago, Illinois, or South San Francisco, California, United States
Salary: $109,500–$208,500 annual base pay
Company
develops innovative medicines and solutions across immunology, oncology, neuroscience, and aesthetics.
What you will do
- Develop, train, and validate machine learning models for histopathology image segmentation, object detection, and classification.
- Apply deep learning and representation learning to digital pathology challenges.
- Curate large-scale pathology datasets and maintain data quality for model training and evaluation.
- Build preprocessing, feature engineering, scalable AI/ML, and model deployment pipelines.
- Collaborate with pathologists, biologists, statisticians, data analysts, engineers, and external research partners.
- Analyze histopathology and spatial omics data to identify biomarkers supporting patient stratification and companion diagnostics.
Requirements
- Ph.D. in computer science, electrical engineering, computational biology, bioinformatics, or a related field focused on computer vision or machine learning; alternatively, an M.S. with 5+ years of relevant industry experience.
- Experience with image analysis, including segmentation, object detection, and classification.
- Proficiency in Python, OpenCV, TensorFlow, and PyTorch.
- Familiarity with MLOps, including model deployment, monitoring, and lifecycle management in production.
- Familiarity with AWS, Azure, GCP, or other cloud platforms and scalable AI/ML pipelines.
- Strong communication, collaboration, problem-solving, and technical explanation skills.
Nice to have
- Experience with digital pathology, biomedical imaging, histopathology, microscopy, or tissue imaging datasets.
- Experience with spatial omics or integrating molecular data with image analysis.
- Knowledge of precision medicine, biomarker discovery, or personalized treatment strategies.
- Cell and molecular biology knowledge in oncology, immunology, or cancer immunotherapy.
Culture & Benefits
- Cross-functional collaboration with pathology laboratories, research pathologists, and assay scientists.
- Work across discovery and late-stage research programs in oncology, cancer immunotherapy, immunology, and neuroscience.
- Paid time off, holidays, and sick leave.
- Medical, dental, and vision insurance and a 401(k) for eligible employees.
- Eligibility to participate in long-term incentive programs.
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