Faculty New Hire - SOM Institute for Health Computing

Job Description

The UM-IHC is equipped with a high-performance computing cluster and access to multiple real world clinical data sets. While the position sits within a health and biomedical research environment, its scope extends broadly across computer science and AI — including machine learning, deep learning, natural language processing, and emerging foundation model architectures — with the expectation that the successful candidate will help set research direction and computational strategy for the Institute, not simply apply existing methods to clinical problems. The ideal candidate will bring an independent, extramurally funded research program, a strong publication record, and a vision for how advances in computer science and AI can transform biomedical and clinical research.

Responsibilities

• Provide strategic and technical thought leadership on computational methods and AI strategy for the Institute for Health Computing.
• Integrate advanced mathematical and computational modeling to predict health outcomes such as treatment response, hospitalizations, and other clinically meaningful endpoints.
• Establish and lead an independent, extramurally funded research program in computer science and artificial intelligence, with applications spanning clinical, biological, environmental, and other complex health-related data domains.
• Secure and sustain extramural research funding.
• Design and oversee data analysis and computational pipelines, including data extraction, cleaning, transformation, quality assurance, and pipeline monitoring and maintenance.
• Develop novel machine learning, deep learning, and artificial intelligence methodologies — including next-generation approaches such as foundation models and large language models — and apply them to health and biomedical big data.
• Publish high-impact, peer-reviewed research in leading computer science, artificial intelligence, biomedical informatics, and clinical journals.
• Design and conduct research studies in collaboration with other faculty, students, postdoctoral fellows, and research staff.
• Collaborate with clinicians, scientists, and cross-disciplinary teams to translate computational and AI research findings into clinical and biomedical practice.
• Promote responsible, equitable AI by developing methods that identify and mitigate bias and advance health equity.
• Mentor graduate students, postdoctoral fellows, and junior researchers, and represent the Institute in the broader computer science/AI research community (e.g., conference leadership, editorial boards, advisory panels).

Qualifications

Required Qualifications:

• Strong programming skills (e.g., Python, R, or comparable languages) and experience building and deploying computational pipelines at scale.
• Demonstrated expertise in machine learning and/or artificial intelligence, with strong foundations in computer science (algorithms, systems, or theory) alongside applied statistical methods.
• Experience applying AI/ML methods to clinical, biomedical, or health-related data.
• Experience with clinical data and clinical research methods.
• A record of independent, peer-reviewed scholarship and grant-seeking appropriate to the rank of Assistant or Associate Professor.
• Excellent analytical and problem-solving skills, with the ability to lead and collaborate across disciplinary teams.
• Excellent written, oral, and interpersonal communication skills.
• Experience mentoring or supervising students, postdoctoral fellows, or research staff.

Preferred Qualifications:

• Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and modern architectures such as transformers, foundation models, or large language models.
• Experience building or leading research teams or labs, with a demonstrated commitment to health equity and responsible AI.
• A significant, sustained publication record in top computer science/AI venues (e.g., NeurIPS, ICML, ACL) and/or health informatics journals.
• A track record of funded grants as principal investigator or co-investigator.

Required Education and Experience:

• Doctoral degree in computer science, artificial intelligence, statistics, data science, or a closely related field.
• Eligible for faculty appointment at an academic medical center (or equivalent research institution) at the rank of Assistant Professor or Associate Professor; final rank will be determined by research record, publication history, and funding trajectory.
• For appointment at the rank of Associate Professor: a sustained, nationally recognized record of independent research, extramural funding, and scholarly leadership in computer science or artificial intelligence.
• For appointment at the rank of Assistant Professor: an emerging independent research trajectory, with strong doctoral or postdoctoral research training in computer science or artificial intelligence.

About Us

The University of Maryland, Baltimore (UMB) is Maryland’s public health, law, and human services university. Six professional schools and the interdisciplinary Graduate School confer the majority of health care, human services, and law professional degrees in Maryland each year.

Our goal is to support the University’s mission of education, research, clinical care, and public service by amplifying UMB’s voice as a thought and action leader, and to enhance goodwill in the communities and people with whom we engage. UMB is a public university and constituent institution of the University System of Maryland. All employees are expected to work primarily physically within the State of Maryland.

UMB is committed to cultivating a diverse and inclusive workforce and is proud to be an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, ancestry or national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, genetic information, physical or mental disability, marital status, protected veteran's status, or any other legally protected classification.

If you anticipate needing a reasonable accommodation for a disability under the Americans With Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contact HRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address.

The University of Maryland, Baltimore prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. Read the UMB Notice of Non-Discrimination for more information.

UMB is a public university and constituent institution of the University System of Maryland. All employees are expected to work primarily physically within the State of Maryland. Regular and contractual employee are eligible for a comprehensive benefits package

About the Team

The University of Maryland School of Medicine (SOM) was chartered in 1807 as the first public medical school in the United States. It continues today as one of the fastest growing, top-tier biomedical research enterprises in the world. SOM is dedicated to providing excellence in biomedical education, basic and clinical research, quality patient care and service to improve the health of the citizens of Maryland and beyond.

Job Info

• Job Identification: 546
• Job Category: Faculty
• Posting Date: 11/04/2026, 05:56 PM
• Apply Before: 11/30/2026, 05:00 AM
• Job Schedule: Full time
• Locations: 6116 Executive Blvd, Rockville, MD, 20852, US
• Expected Salary: $110,000-$150,000
• SOAPF: 335-10222000-000000-00000000-330
• Project: 30089671C2
• JobType: Regular