资深AI科学家，基础模型
Staff AI Scientist, Foundation Models
致力于精准医疗并推动医疗行业发展的热情？
近年来底层技术的进展终于使人工智能能够以有意义的方式影响临床护理。Tempus 的专有平台连接了整个现实世界证据生态系统，为医生提供实时、可操作的见解，提供关于正确患者在正确时间接受正确治疗的关键信息。
在 Tempus，我们致力于通过数据驱动的洞察重新定义精准医疗。基础模型团队是由 AI 科学家和工程师组成的跨学科团队，正在开发适用于多种临床和分子模式的基础模型，包括纵向患者数据、病理学、基因组学和其他生物医学数据。我们的目标是构建可泛化的 AI 表示和模型，以支持临床护理、生物医学研究以及药物开发生命周期中的应用。
作为基础模型团队的高级 AI 科学家，您将作为资深个人贡献者，专注于推进用于精准医疗的大规模基础模型。您将在机器学习、临床科学和生命科学的交叉领域工作，利用世界上最大的临床和分子数据集之一开发新型模型，并将其转化为临床研究、药物开发和合作伙伴项目中的影响力应用。
主要职责：
- 技术领导：作为基础模型团队的资深个人贡献者，提供扎实的技术贡献，同时帮助塑造模型架构、研究方向和执行策略。与科学家和工程师紧密合作，将具有雄心的 AI 技术从研究阶段推进到验证和部署。
- 基础模型研究：设计、训练并推进基于大规模多模态临床和分子数据的最先进基础模型，包括纵向患者记录、病理学、基因组学及相关生物医学模式。在预训练、表征学习、自监督学习、多模态学习、模型扩展和后训练等领域推动创新。
- 基础模型应用：开发和调整基于基础模型的模型，用于下游临床和生命科学应用，包括预后、治疗结果预测、患者分层、生物标志物发现、临床试验应用和针对合作伙伴的特定 AI 解决方案。
查看英文原文
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The Foundation Model group is a multidisciplinary team of AI scientists and engineers developing foundation models across diverse clinical and molecular modalities, including longitudinal patient data, pathology, genomics, and other biomedical data. Our goal is to build generalizable AI representations and models that can power applications across clinical care, biomedical research, and the drug development lifecycle.
As a Staff AI Scientist, Foundation Models, you will be a senior individual contributor focused on advancing large-scale foundation models for precision medicine. You will work at the intersection of machine learning, clinical science, and life sciences, developing novel models using one of the world’s largest clinical and molecular datasets and translating them into impactful applications across clinical research, drug development, and partner programs.
Key Responsibilities:
- Technical Leadership: Serve as a senior individual contributor within the foundation model team, providing strong hands-on technical contributions while helping shape model architecture, research direction, and execution. Work closely with scientists and engineers to take ambitious AI technologies from research through validation and deployment.
- Foundation Model Research: Design, train, and advance state-of-the-art foundation models across large-scale multimodal clinical and molecular data, including longitudinal patient records, pathology, genomics, and related biomedical modalities. Drive innovation in areas such as pretraining, representation learning, self-supervised learning, multimodal learning, model scaling, and post-training.
- Foundation Model Applications: Develop and adapt foundation-model-derived models for downstream clinical and life sciences applications, including prognosis, treatment outcome prediction, patient stratification, biomarker discovery, clinical trial applications, and partner-specific AI solutions.
- Scientific Leadership: Contribute original ideas that advance Tempus’s foundation model research agenda, publish impactful research, and engage with the broader AI research community.
- Regulatory and Product Alignment: Work with cross-functional teams to ensure models and AI products meet appropriate quality, validation, and regulatory standards for healthcare and life sciences applications.
Qualifications:
We value diverse perspectives and recognize that outstanding talent does not always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.
- Education: Ph.D. in Computer Science, or a related quantitative field.
- Professional Experience: 3+ years of industry experience driving end-to-end development of machine learning models, from research and experimentation to validation and production deployment.
- Domain Expertise: Demonstrated expertise in large-scale deep learning and foundation model development is required, including experience in areas such as pretraining, representation learning, self-supervised learning, multimodal modeling, or post-training. Experience with computer vision, NLP, pathology, longitudinal EHR, genomics, or other biomedical modalities is preferred. Prior work in medical or healthcare AI is highly valued but not required.
- Research Excellence: A strong track record of original, high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues is required. Publications in medical or healthcare AI and prior experience developing foundation models are strongly preferred.
- Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.
New York Pay Range - $220,000-$260,000USD
The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Originally posted on Himalayas