Project Manager (Neurology AI Center)

Stanfordlivetickets; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stanford University is seeking a Project Manager to lead and administer programs or functions under minimal supervision.

The role requires managing research budgets, coordinating IRB processes, and collaborating with faculty, industry partners, and university administrators in a high-impact, AI and data science research setting.

Qualifications

• PhD preferred in a scientific, engineering, or health-related field.
• Advanced degree (MBA, MPH, MS, JD) with relevant experience considered.
• Experience managing research budgets across multi-award grants.
• IRB processes familiarity; protocol preparation and compliance oversight.
• Five+ years of relevant experience including federal research grants (NIH preferred).
• Experience negotiating research contracts (DUA, MTAs, sponsored agreements).
• Familiarity with tech transfer, IP, and licensing.
• Experience standing up new programs or centers.
• Knowledge of research compliance beyond IRB: HIPAA, conflicts, export controls, data privacy.
• Excellent written and verbal communication; able to work with faculty, industry executives, and university admins.
• Ability to operate in an AI/data science research environment.

Responsibilities

• Lead and administer programs or functions under minimal supervision.
• Coordinate budgets, track effort allocation, forecast spending.
• Prepare sponsor financial reports and monitor subawards.
• Ensure IRB compliance across multiple active protocols.
• Collaborate with faculty, industry partners, and university administrators.

Skills

Budget management

IRB processes

Grants management

Contract negotiation

Program leadership

Communication

Stakeholder management

Academic environment

AI/Data science awareness

Education

PhD preferred

MBA/MPH/MS/JD considered with experience

Job description

Stanford University is seeking a Project Manager, tolead and administer programs or functions under minimal supervision.

DESIRED QUALIFICATIONS:

• PhD preferred, in a scientific, engineering, or health-related field. An advanced degree in a related area (MBA, MPH, MS, JD) will be considered with relevant experience.
• Demonstrated experience managing research budgets strongly preferred — building and monitoring multi-award budgets, tracking effort allocation and subawards, forecasting spending, and preparing sponsor financial reports.
• Experience with IRB processes strongly preferred — protocol preparation and submission, amendments, continuing review, and maintaining compliance across multiple active protocols.
• Five or more years of relevant experience, including direct management of federal research grants (NIH strongly preferred).
• Experience negotiating and administering research contracts — data use agreements, material transfer agreements, and sponsored research agreements — in an academic medical center, research institute, or industry setting.
• Familiarity with technology transfer, intellectual property, and licensing processes.
• Experience standing up new programs, centers, or major initiatives from the ground up.
• Working knowledge of research compliance requirements beyond IRB: HIPAA, conflict of interest, export control, and data privacy.
• Excellent written and verbal communication, and the ability to work credibly with faculty, industry executives, and university administrators.
• Comfort operating in a technical AI and data science research environment, with the ability to learn the science well enough to represent the program externally.

PHYSICAL REQUIREMENTS*:

• Constantly perform desk-based computer tasks.
• Frequently stand/walk, sitting, grasp lightly/fine manipulation.
• Occasionally use a telephone.
• Rarely lift/carry/push/pull objects that weigh 11-20 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.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.