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The Cardiovascular Biomechanics Computation Lab at Stanford University, led by Dr. Alison Marsden, focuses on computational modeling of the cardiovascular system to aid surgical planning, medical device design, and fundamental research in biomechanics. The lab develops the SimVascular open-source project, a leading tool for patient-specific modeling and blood flow simulation, and manages the Vascular Model Repository (VMR), which offers over 300 accessible SimVascular-compatible projects.
The lab seeks a Computational Engineering Associate to support VMR (https://vascularmodel.com) and SimVascular projects (https://simvascular.github.io). through data curation, database management, website maintenance, open-source software development-including bug reporting and documentation-and creating Python scripts for data processing in AI and machine learning applications. The role involves collaborating with Stanford libraries to ensure data integrity and integration of new datasets into the VMR, as well as maintaining comprehensive documentation for accessibility to researchers.
The ideal candidate will work closely with lab members and external collaborators, possessing programming experience (e.g., Python), excellent communication skills, a collaborative mindset, and project management capabilities.
Duties include:
• Data Curation for VMR: Manage data repository activities, including data archiving, curation, and ensuring public access for various research projects, while facilitating dissemination to the scientific community.
• Support for SimVascular: Assist with bug reporting, source code testing, and documentation, as well as providing user support and troubleshooting for the SimVascular community, ensuring effective dissemination of software releases.
• Model Building: Utilize SimVascular and 3D Slicer to develop anatomical models from medical images, enhancing the research database and promoting model accessibility to researchers.
• Project Management: Assist the PI with overseeing ongoing research projects and assist the senior software engineer with oversight of open-source projects, ensuring timely completion of scientific tasks and collaboration among team members, while supporting the dissemination of findings to the broader scientific community.
• Lab Management: Assist with lab operations including compute resource allocation, equipment purchases, and onboarding new members to support scientific computing activities.
• Workflow Development: Create custom Python scripts to facilitate machine learning, data curation, and patient-specific modeling processes, aiding in the dissemination of innovative methods and tools.
* - Other duties may also be assigned
Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. 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. The pay range for this position working in the California Bay area is $91,339.00 to $119,362.00 annually.
DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
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 (REQUIRED):
• Advanced Scientific and Engineering Knowledge: Strong understanding of scientific and engineering principles, with practical experience using engineering and simulation software such as CAD and finite element analysis tools.
• Programming and Software Engineering Proficiency: Demonstrated skills in Python programming and software engineering through coursework, research, or industry experience, including tasks like data format conversion, workflow automation, and developing scripts for AI applications.
• Open-Source Engagement: Commitment to contributing to open-source initiatives, including effective use of GitHub for source code version control, issue tracking, and collaboration with development teams.
• Team Collaboration and Technical Support: Experience working with teams to troubleshoot software installations and support laboratory operations while ensuring compliance with health and safety standards.
• Organizational Skills: Employ strong organizational skills to support collaboration with senior staff in developing custom software solutions and coordinating research initiatives.
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
• Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
• Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
• Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.
• Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
• May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
• May require travel.