Biomedical AI Scientist - Neurology

Scheduled Hours40

Position SummaryPosition focuses on developing and applying large language models (LLMs) and deep learning systems to accelerate scientific discovery in the biomedical field. Position is part of the AI Biomedical Research Scientist Initiative, a cross-disciplinary project involving the Tracy Family SILQ Center, and collaborators across academia and industry. Your work will contribute to a transformative AI system that enhances scientific reasoning, experimental planning, and literature analysis in Alzheimer’s and broader biomedical research. Your work will contribute to a transformative AI system that enhances scientific reasoning, experimental planning, and literature analysis in Alzheimer’s and broader biomedical research.

Job Description

Primary Duties & Responsibilities:

• Lead the optimization of large-scale LLMs and deep learning architectures for biomedical research.
• Design and deploy high-performance AI systems using GPUs and hardware accelerators.
• Interact and collaborate with large tech AI companies, Pharma AI/IT groups, and Academic collaborators.
• Build and optimize scalable training and inference pipelines for structured and unstructured biomedical data.
• Collaborate with interdisciplinary researchers, engineers, and domain scientists across Washington University and national/international collaborators.
• Publish research in top-tier venues and contribute to open-source scientific software where applicable.
• Stay abreast of developments in AI, machine learning, and biomedical applications.
• Develop foundational AI models with semantic reasoning, knowledge integration, and domain adaptation capabilities.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Master's degree - Biomedical Engineering

Certifications:

No specific certification is required for this position.

Work Experience:

No specific work experience is required for this position.

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

Preferred Qualifications

• Familiarity with biomedical datasets or scientific literature analysis.
• Publications in AI/ML conferences (NeurIPS, ICML, ICLR, ACL) or biomedical informatics.
• Experience with knowledge graphs, LLM, agentic systems.
• Understanding of distributed training (e.g., DeepSpeed, FSDP, Ray, or MPI-based systems).
• Familiarity with GPU-accelerated computing (e.g., CUDA, NVIDIA ecosystem).

Preferred Qualifications

Education:

No additional education beyond what is stated in the Required Qualifications section.

Certifications:

No additional certification beyond what is stated in the Required Qualifications section.

Work Experience:

Engineering (4 Years)

Skills:

Artificial Intelligence (AI), Java, Large Language Models (LLMs), Python (Programming Language), PyTorch, Tensorflow

GradeG17

Salary Range$110,300.00 - $194,200.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment ScreeningAll external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

• Up to 22 days of vacation, 10 recognized holidays, and sick time.

• Competitive health insurance packages with priority appointments and lower copays/coinsurance.

• Take advantage of our free Metro transit U-Pass for eligible employees.

• WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

• We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.

• WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Washington University is dedicated to building a community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.