Biomedical Ai Jobs in Silver Spring, MD (NOW HIRING)

Job Description
Job Title: Assistant/Associate Professor in Computer Science and Artificial Intelligence
Summary:
We are seeking an accomplished scholar and thought leader in computer science and artificial intelligence to join our faculty at the rank of Assistant or Associate Professor, commensurate with experience. The successful candidate will be based at the University of Maryland Institute for Health Computing (UM-IHC), a major computational research hub in North Bethesda that applies next-generation computational analytics and artificial intelligence to improve health and human disease. 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.
Job Duties:
l Provide strategic and technical thought leadership on computational methods and AI strategy for the Institute for Health Computing.
l Integrate advanced mathematical and computational modeling to predict health outcomes such as treatment response, hospitalizations, and other clinically meaningful endpoints.
l 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.
l Secure and sustain extramural research funding.
l Design and oversee data analysis and computational pipelines, including data extraction, cleaning, transformation, quality assurance, and pipeline monitoring and maintenance.
l 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.
l Publish high-impact, peer-reviewed research in leading computer science, artificial intelligence, biomedical informatics, and clinical journals.
l Design and conduct research studies in collaboration with other faculty, students, postdoctoral fellows, and research staff.
l Collaborate with clinicians, scientists, and cross-disciplinary teams to translate computational and AI research findings into clinical and biomedical practice.
l Promote responsible, equitable AI by developing methods that identify and mitigate bias and advance health equity.
l 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:
l Strong programming skills (e.g., Python, R, or comparable languages) and experience building and deploying computational pipelines at scale.
l Demonstrated expertise in machine learning and/or artificial intelligence, with strong foundations in computer science (algorithms, systems, or theory) alongside applied statistical methods.
l Experience applying AI/ML methods to clinical, biomedical, or health-related data.
l Experience with clinical data and clinical research methods.
l A record of independent, peer-reviewed scholarship and grant-seeking appropriate to the rank of Assistant or Associate Professor.
l Excellent analytical and problem-solving skills, with the ability to lead as well as collaborate across disciplinary teams.
l Excellent written and oral communication and interpersonal skills.
l Experience mentoring or supervising students, postdoctoral fellows, or research staff.
Preferred Qualifications:
l Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and modern architectures such as transformers, foundation models, or large language models.
l Experience building or leading research teams or labs, with a demonstrated commitment to health equity and responsible AI.
l A significant, sustained publication record in top computer science/AI venues (e.g., NeurIPS, ICML, ACL) and/or health informatics journals.
l A track record of funded grants as principal investigator or co-investigator.
Required Education and Experience:
l Doctoral degree in computer science, artificial intelligence, statistics, data science, or a closely related field.
l 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.
l 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.
l 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.
Salary and Benefits
l The referenced salary range $140,000-$250,000 represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training, and other factors, as reasonably determined by the University.
l UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position offers a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school. Note: Leave and tuition benefits are prorated for part-time employees.
l UMB is an Equal Opportunity, Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees. We are committed to building a diverse environment; women and minorities are strongly encouraged to apply.
l If you need a reasonable accommodation for a disability, for any part of the recruitment process, please contact and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.