About Tempus AI
Sourced by ZipRecruiter
Full-time
Posted 6 days ago
Tempus AI rating
6.7
Based on 7 frontline employees who took The Breakroom Quiz
147th of 184 rated software companies
Job description
Job Summary:
Tempus AI is focused on redefining precision medicine through data-driven insights. As a Staff AI Scientist, you will lead the development of AI-intensive projects that leverage large clinical and molecular datasets to transform patient care.
Responsibilities:
• Technical Leadership: This is a high-impact, senior individual contributor role. Architect and lead the development of AI-intensive projects from initial research to production-ready design. Influence the long-term technical roadmap.
• Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.
• Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).
• Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.
• Scientific Contribution: Maintain Tempus’s position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.
Qualifications:
Required:
• Ph.D. in Computer Science, or a related quantitative field.
• 5+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.
• Demonstrated expertise in large-scale deep learning and training production-grade models is required.
• Proficiency in Python and the modern deep learning stack (e.g. Pytorch).
• Strong product-level coding skills for model development are essential.
• A solid understanding of industry-standard software engineering and development practices.
Preferred:
• Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred.
• Prior work in medical or healthcare AI is highly valued but not required.
• A strong track record of peer-reviewed publications in leading machine learning or computer vision venues.
• Publications in medical or healthcare AI venues are preferred.
Company:
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. Founded in 2015, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Tempus AI is focused on redefining precision medicine through data-driven insights. As a Staff AI Scientist, you will lead the development of AI-intensive projects that leverage large clinical and molecular datasets to transform patient care.
Responsibilities:
• Technical Leadership: This is a high-impact, senior individual contributor role. Architect and lead the development of AI-intensive projects from initial research to production-ready design. Influence the long-term technical roadmap.
• Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.
• Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).
• Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.
• Scientific Contribution: Maintain Tempus’s position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.
Qualifications:
Required:
• Ph.D. in Computer Science, or a related quantitative field.
• 5+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.
• Demonstrated expertise in large-scale deep learning and training production-grade models is required.
• Proficiency in Python and the modern deep learning stack (e.g. Pytorch).
• Strong product-level coding skills for model development are essential.
• A solid understanding of industry-standard software engineering and development practices.
Preferred:
• Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred.
• Prior work in medical or healthcare AI is highly valued but not required.
• A strong track record of peer-reviewed publications in leading machine learning or computer vision venues.
• Publications in medical or healthcare AI venues are preferred.
Company:
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. Founded in 2015, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
tempus.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Staff Scientist?
A: To succeed as a Staff Scientist, one should possess strong technical skills in their domain-specific area, such as expertise in laboratory techniques, data analysis, and experimental design. Additionally, they should exhibit excellent communication and collaboration skills, including the ability to effectively convey complex ideas to both technical and non-technical audiences, as well as work well in cross-functional teams. These strengths enable Staff Scientists to drive research initiatives, mentor junior colleagues, and contribute to the development of innovative solutions, ultimately supporting their career growth and effectiveness in the role.
Q: What is the career path for a Staff Scientist?
A: A Staff Scientist typically starts as a Research Scientist or Postdoctoral Researcher, conducting experiments and collecting data to advance scientific knowledge. As they gain experience, they progress to Senior Research Scientist or Group Leader roles, overseeing research projects, mentoring junior scientists, and contributing to strategic planning. Ultimately, they may become a Principal Investigator or Department Head, leading large research teams, securing funding, and publishing high-impact research in their field.
