ML Engineer – Healthcare Foundation Model Developer

Stanford University; Palo Alto (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Stanford University is seeking a Machine Learning Engineer to support advanced technical research within the Weill Cancer Hub. The role focuses on developing and applying AI/ML methods for biomedical applications and real-world evaluation to ensure safety, reliability, and clinical utility of translational models.

Reporting to technical leadership, you will build data pipelines and software infrastructure for ML research, and guide choices on languages, tools, and engineering practices used

Qualifications

• Bachelor’s degree in engineering, science, or related field and three years of relevant experience.
• Demonstrated knowledge and skills of advanced scientific or engineering principles and practices.
• Experience applying complex scientific and engineering principles to develop and evaluate systems.
• Ability to independently oversee instrumentation installation and maintenance.
• Ability to collaborate with senior staff to design and implement systems.
• Experience overseeing major scientific initiatives and ensuring project objectives are met.

Responsibilities

• Support scientific research programs by analyzing data, monitoring experiments, and prototyping systems.
• Collaborate with scientists and engineers to select optimum solutions and modify equipment designs.
• Troubleshoot and resolve routine problems for scientists and engineers.
• Design and develop special purpose equipment and systems with senior researchers.
• Participate in planning and implementing scientific or engineering initiatives and projects.
• Oversee a laboratory space and supervise technicians and staff to meet project goals.
• Review research proposals and advise on capabilities and resources.
• Enforce health and safety policies and procedures.
• Develop training manuals and safety guidelines for new users.

Skills

Advanced scientific principles

Instrumentation oversight

Collaboration in research

Independent data challenges

Education

Bachelor’s degree in engineering, science, or related field

Job description

Stanford University is seeking a Machine Learning Engineer to support advanced technical research within the Weill Cancer Hub. This role will focus on developing and applying AI and machine learning methods for biomedical and clinical applications, with an emphasis on rigorous evaluation in real-world settings. The goal is to better understand the performance, safety, reliability, transparency, and clinical utility of ML/AI models intended for translational impact and eventual deployment.Reporting to the program’s technical leadership, and working closely with senior faculty and research staff, the individual will build end-to-end data pipelines and software infrastructure for machine learning research across the Hub. They will develop robust, modular systems for training, evaluation, and inference that can support a range of downstream applications, and will help guide technical decisions around the languages, tools, platforms, and engineering practices used across data and software projects.

About Us

The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.

You Will Find This Position a Good Fit If

• You are passionate about transforming raw healthcare data into valuable insights.
• You believe in the critical role of AI in advancing machine learning in healthcare.
• You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams.
• You are excited to work with patient-level data and embrace challenges related to data diversity and complexity.

Duties include

• Support complex scientific and research programs related to area of specialization; analyze data, monitor and oversee experimental process, and design and develop prototypes, specialized equipment, and/or systems.
• Collaborate with scientists, engineers, or senior administrative officers to oversee complex non-routine analyses, select optimum solutions, and perform corrective modifications to equipment and system designs.
• Carry out all activities, including troubleshooting and resolving routine problems for scientist or engineers, independently.
• Collaborate with senior engineers and scientists to design and develop special purpose equipment and/or systems.
• Participate in the planning, design, and implementation of scientific or engineering initiatives, and work toward project
• objective.
• Oversee a laboratory space or unit, and supervise the work of technicians and other staff associated with the group.
• Serve as a resource in review of research proposals and research capabilities, and make recommendations.
• Establish, communicate, and enforce compliance with health and safety policies and procedures.
• Develop training manuals and safety guidelines, and train new instrumentation users, researchers, and/or technical staff.
• Perform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area.

* - Other duties may also be assigned

Core Duties

• Support complex scientific and research programs related to area of specialization; analyze data, monitor and oversee experimental process, and design and develop prototypes, specialized equipment, and/or systems.
• Collaborate with scientists, engineers, or senior administrative officers to oversee complex non-routine analyses, select optimum solutions, and perform corrective modifications to equipment and system designs.
• Carry out all activities, including troubleshooting and resolving routine problems for scientist or engineers, independently.
• Collaborate with senior engineers and scientists to design and develop special purpose equipment and/or systems.
• Participate in the planning, design, and implementation of scientific or engineering initiatives, and work toward project
• objective.
• Oversee a laboratory space or unit and supervise the work of technicians and other staff associated with the group.
• Serve as a resource in review of research proposals and research capabilities and make recommendations.
• Establish, communicate, and enforce compliance with health and safety policies and procedures.
• Develop training manuals and safety guidelines, and train new instrumentation users, researchers, and/or technical staff.
• Perform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area.

Minimum Education and Experience

Bachelor’s degree in engineering, science, or related field and three years of relevant experience; or a combination of education and relevant experience.

Knowledge, Skills and Abilities

• Demonstrated knowledge and skills of advanced scientific or engineering principles and practices.
• Demonstrated experience applying complex scientific and engineering principles and performing special technical services involving both development and performance.
• In-depth experience with software applications, systems, or programs relevant for the job.
• Ability to independently oversee and manage instrumentation or system installation.
• Ability to collaborate with senior engineering and scientific staff to design and develop special purpose equipment and/or systems.
• Experience overseeing the plan, design, and implementation of major scientific or engineering initiatives and ensuring project objectives are met.
• Demonstrated ability to review research proposals, evaluate research capabilities, and make recommendations.
• Demonstrated ability to establish, communicate, and enforce compliance with health and safety policies and procedures.
• Experience overseeing a laboratory space or unit and supervising the work of technicians and other staff associated with the group.
• Demonstrated ability to effectively supervise and train a diverse work staff.