机器学习科学家，多模态AI
Machine Learning Scientist, Multimodal AI
职位描述：
Natera 正在招聘一名机器学习科学家，加入我们的 AI 和计算生物学团队。该职位负责在数字病理学、基因组学、转录组学和无细胞 DNA（cfDNA）模式中开发和部署深度学习模型。您将构建整合影像、分子和临床数据的多模态 AI 系统，利用专有的基因组和临床数据集。您将与科学家、病理学家、生物信息学家和软件工程师合作，扩展机器学习方法，以推进个性化肿瘤诊断和肿瘤指导的微小残留病（MRD）检测。
主要职责：
- 在生物医学数据模式上设计、实现和评估深度学习模型，包括组织病理学影像、基因组测序、转录组学和 cfDNA 特征
- 开发整合 H&E 全切片影像数据与分子和临床数据源的多模态 AI 架构
- 使用云基础设施（AWS）构建可扩展、生产级的机器学习工作流程和管道
- 应用现代机器学习技术，包括卷积神经网络（CNNs）、视觉变压器（ViTs）、序列变压器、表征学习和基础模型微调
- 与技术和临床团队协作，将机器学习原型转化为验证过的工具
- 分析模型输出，生成可重复的生物学和临床见解
- 详细记录管道，并向跨职能利益相关者清晰传达数据驱动的发现
任职资格：
- 计算机科学、计算生物学、生物医学工程、生物信息学、统计学或相关定量学科的博士学位，专注于机器学习或 AI
- 在生物医学应用中开发机器学习模型的核心经验，特别是在医学影像、计算病理学、基因组学、转录组学、多组学或分子诊断领域
- 精通 PyTorch 和 Python 的生产级编程技能
- 深度学习架构的实际应用经验，如 CNNs、变压器、注意力机制和表征学习
- 在分布式或云计算环境（AWS）中管理数据集和训练工作流的经验
- 有独立承担研究项目并将其原型转化为稳健、可部署工作流的能力
- 有适应预训练基础模型的经验
查看英文原文
POSITION SUMMARY:
Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.
PRIMARY RESPONSIBILITIES:
- Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
- Develop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sources
- Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
- Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
- Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
- Analyze model outputs to generate reproducible biological and clinical insights
- Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders
QUALIFICATIONS:
- PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI
- Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
- Hands-on expertise with PyTorch and strong production-level programming skills in Python
- Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
- Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
- Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
- Experience adapting pre-trained foundation models for downstream biomedical applications
PREFERRED QUALIFICATIONS:
- Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
- Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays
- Hands-on experience with digital pathology software and whole-slide imaging analysis
- Exposure to survival modeling, longitudinal prediction, or time-to-event modeling
- Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
- Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
- Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)
The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$124,800—$171,600 USD
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
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For more information:
- BBB announcement on job scams
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