Stanford University

Stanford University

ML Engineer - Healthcare Data Curation & Model Workflows

Stanford, California, USA · full-time

Sponsorship not specified$123k-$145kDetected 109 days ago
PythonAlgorithmsCode ReviewGitSQLBigQueryCloud PlatformsDockerCI/CDMachine LearningPyTorchData EngineeringMLOpsComplianceHIPAAEHR/EMRRadiologyResearch

About the role

  • The aim is to understand the performance, safety, effectiveness, reliability, and transparency of ML/AI models intended for real-world deployment.
  • 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.

Responsibilities

  • 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.
  • 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.
  • Develop training manuals and safety guidelines, and train new instrumentation users, researchers, and/or technical staff.

Requirements

  • The grant required use of AI and ML tools for modeling and building biomedical applications that will be evaluated by clinicians.
  • Bachelor's degree in engineering, science, or related field and three years of relevant experience

Nice to have

  • Proficiency with containerization tools (e.g., Docker).
  • KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): 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.

Skills

  • Demonstrated knowledge and skills of advanced scientific or engineering principles and practices.
  • In-depth experience with software applications, systems, or programs relevant for the job.
  • 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.
  • Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
  • May require travel.

Compensation

  • $123k-$145k

Benefits

  • 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.
  • Establish, communicate, and enforce compliance with health and safety policies and procedures.

Company info

  • The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI.
  • 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.
  • Carry out all activities, including troubleshooting and resolving routine problems for scientist or engineers, independently.
  • 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.
  • 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 The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities.
  • Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.
  • Employees may also perform other duties as assigned.
  • The expected pay range for this position is $122,929 to $145,389 per annum.
  • Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire.
  • The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
  • At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
  • The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees.
  • Specifics about the rewards package for this position may be discussed during the hiring process.
  • Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities.
  • Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at For all other inquiries, please submit a contact form.
  • Stanford is an equal employment opportunity and affirmative action employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
  • Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.
  • DESIRED QUALIFICATIONS: Ability to install, configure, and implement machine learning algorithms in modern training platforms (such as PyTorch, JAX) and inference platforms (such as Hugging Face, gradio, streamlit Experience with cloud infrastructure and CI/CD Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
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This listing is sourced directly from Stanford University's careers page and normalized into a canonical job model.