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.