Education
Professor of Medical Informatics Job Description
Professors of Medical Informatics teach graduate and professional students the principles of health data management, clinical decision support, interoperability standards, and informatics research methods. They maintain an active research portfolio — securing grants, publishing peer-reviewed work, and collaborating with health systems — while advising students and serving on departmental and university committees. The role sits at the intersection of computer science, biomedical science, and clinical practice.
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Role at a glance
- Typical education
- PhD in biomedical informatics, computer science, or related field; MD/DO with informatics training also valued
- Typical experience
- Postdoctoral fellowship and evidence of doctoral mentorship/grant success required
- Key certifications
- ABPM Clinical Informatics, AMIA 10x10 program, IRB Principal Investigator certification
- Top employer types
- Research universities (R1), medical schools, academic health centers, integrated delivery networks
- Growth outlook
- Growing demand for informatics training and faculty due to expanded federal funding and interoperability regulations
- AI impact (through 2030)
- Strong tailwind — active recruitment is increasing for faculty with expertise in clinical AI evaluation, algorithmic fairness, and foundation model applications in clinical settings.
Duties and responsibilities
- Design and deliver graduate-level courses in clinical informatics, health data standards, and biomedical NLP
- Develop and maintain a funded research program in areas such as EHR phenotyping, clinical AI, or population health analytics
- Supervise doctoral dissertations and master's capstone projects from proposal through defense and publication
- Submit and manage NIH, AHRQ, PCORI, or NSF grants including budgets, progress reports, and compliance requirements
- Collaborate with affiliated health system partners on applied informatics projects and data-sharing agreements
- Publish peer-reviewed research in journals such as JAMIA, JMIR, and the Journal of Biomedical Informatics
- Serve on departmental curriculum committees, IRB panels, and university academic governance bodies
- Mentor junior faculty and postdoctoral fellows in grant writing, publication strategy, and academic career development
- Present research findings at AMIA, HIMSS, and other national and international conferences
- Advise students on career pathways into health IT, clinical informatics fellowships, and informatics research
Overview
A Professor of Medical Informatics occupies one of the more demanding — and intellectually varied — faculty roles in the health sciences. The job requires simultaneous competence in teaching clinical informatics concepts to graduate students, running an externally funded research program, navigating relationships with affiliated health systems, and staying current enough with a field that changes faster than most academic disciplines to remain credible at conferences.
The teaching load at a research-focused institution typically runs two to three courses per year — graduate seminars in topics like EHR data architecture, HL7 FHIR standards, clinical NLP, or health outcomes informatics. But the course work is the visible minority of the workload. The research enterprise — grant writing, student supervision, data access negotiations with health system partners, manuscript revision cycles — consumes the majority of a productive faculty member's time.
Health informatics research almost always requires access to patient data, which means IRB approvals, data use agreements, and often a formal partnership with a hospital or integrated delivery network. Building and maintaining those relationships is as much a part of the job as the analysis itself. Faculty who treat health system partners transactionally rarely get second datasets.
At medical school-affiliated departments, the faculty mix often includes clinician-investigators with joint MD and informatics credentials who hold clinical appointments alongside their faculty role. This creates productive collaboration and sometimes friction — the research timelines of a full-time PhD faculty member and a clinician with a half-time faculty appointment rarely align naturally.
The administrative dimension — curriculum committee service, accreditation self-studies, graduate admissions review, grant review panels at NIH study sections — is real and grows with rank. Associate and Full Professors are expected to carry more of this load, and it competes directly with the research time that produced the promotion in the first place.
For candidates who genuinely want to shape how the next generation of health informaticists thinks about data, evidence, and clinical implementation, the role offers a platform that few other careers provide.
Qualifications
Education:
- PhD in biomedical informatics, health informatics, computer science, or a related field (required at R1 institutions)
- MD, DO, or clinical PhD with formal informatics training (valued at medical school departments)
- Postdoctoral fellowship in clinical or translational informatics (increasingly expected at competitive R1 programs)
Certifications and professional credentials:
- American Board of Preventive Medicine (ABPM) board certification in Clinical Informatics — not universally required but competitive advantage at medically affiliated departments
- AMIA 10x10 program completion for candidates transitioning from clinical backgrounds
- IRB Principal Investigator certification (typically institutional, completed before first independent study)
Research and technical skills:
- EHR data models: OMOP CDM, i2b2, PCORnet; familiarity with extraction and phenotyping workflows
- Health data standards: HL7 FHIR, SNOMED CT, ICD-10-CM, LOINC, CDA/CCDA
- Programming: Python or R for health data analysis; SQL for clinical data warehouse queries; experience with SPARQL or ontology tools is a plus
- Clinical NLP: tools like cTAKES, MetaMap, and transformer-based models (BioBERT, ClinicalBERT) for unstructured clinical text
- Study design: observational research methods, causal inference, or clinical trial design depending on research area
- Grant mechanisms: NIH R01, R21, K awards, AHRQ R18/R01, PCORI pipeline award structures
Teaching and mentorship:
- Prior teaching experience as an instructor of record or graduate teaching assistant
- Evidence of effective doctoral mentorship — graduated students, first-author publications with students
- Curriculum design experience, particularly in updating courses for rapidly evolving technology domains
Soft skills that distinguish strong candidates:
- Patience for long institutional timelines (data access negotiations, IRB amendments, grant resubmissions)
- Comfort communicating across audiences — clinical, technical, and policy stakeholders rarely share vocabulary
- Persistence through the manuscript rejection and grant resubmission cycles that define academic research
Career outlook
The academic job market in medical informatics is tighter than the industry job market by a significant margin, but the field is in better shape than most humanities or social science disciplines and considerably healthier than it was a decade ago.
Federal investment is a major driver. NIH's National Library of Medicine has steadily expanded its informatics funding portfolio, and the 21st Century Cures Act and subsequent interoperability regulations have created a policy environment that makes health data research both more feasible (more standardized data) and more urgent (more systems producing it). PCORI, AHRQ, and NSF supplement NLM funding in ways that give informatics researchers more grant pathways than many biomedical fields.
Demand for informatics training is growing at the graduate level. Health systems are hiring data scientists, informaticists, and EHR analysts at a rate that outpaces the supply of formally trained graduates, which is creating pressure on academic programs to expand and on departments to add faculty. Programs that did not exist ten years ago are now accredited and growing — which creates faculty positions that have no historical baseline.
At the same time, the academic market for any tenure-track position in the health sciences is genuinely competitive. Strong candidates typically hold a postdoc, have at least one first-author paper in a respected informatics journal, and ideally have demonstrated early grant success through a K award, foundation funding, or a co-investigator role on an active R01.
The AI inflection point is creating a specific submarket. Departments and medical schools are actively recruiting faculty with expertise in clinical AI evaluation, algorithmic fairness in health systems, and foundation model applications in clinical settings. Candidates who can credibly bridge machine learning methods and clinical validity are receiving multiple offers. This demand is expected to remain elevated through at least the late 2020s as health systems grapple with deploying and governing AI tools in live clinical environments.
For faculty who establish a funded research program and graduate strong doctoral students, the career is stable and professionally rewarding. The salary ceiling is real — a Full Professor at a major medical school with a funded lab earns well, but not what a comparable technical leader earns in industry — but the autonomy, the intellectual scope, and the ability to shape a field through students make the trade-off worthwhile for those who are suited to it.
Sample cover letter
Dear Search Committee,
I am applying for the Assistant Professor position in Medical Informatics at [University]. I completed my PhD in Biomedical Informatics at [University] in May and am currently finishing a postdoctoral fellowship at the [Institute], where I have been working on EHR-based phenotyping of patients with early-stage heart failure using OMOP CDM data from a twelve-hospital network.
My dissertation developed a pipeline for identifying undiagnosed atrial fibrillation in clinical notes using a fine-tuned ClinicalBERT model, achieving 0.89 F1 on a held-out validation cohort. That work is under review at JAMIA, and a methods paper describing the annotation framework was published last year in the Journal of Biomedical Informatics. I have presented this research at AMIA Annual Symposium in back-to-back years and received feedback that directly shaped two grant aims I am now developing.
On the teaching side, I served as the primary instructor for a 15-student graduate seminar on clinical data standards during my second postdoc year. I designed the FHIR module from scratch after finding that existing course materials hadn't kept pace with the R4 specification or the CMS interoperability rules. Student evaluations averaged 4.7 out of 5.0, and three students from that seminar have since contacted me about doctoral programs.
I am preparing an NIH K99/R00 application targeting a July submission, with specific aims focused on scalable phenotyping methods for rare cardiovascular conditions using federated data networks. I would welcome the opportunity to discuss how that research agenda aligns with [University]'s existing clinical partnerships and departmental priorities.
Thank you for your consideration.
[Your Name]
Frequently asked questions
- What does a Professor of Medical Informatics do?
- Professors of Medical Informatics teach graduate and professional students the principles of health data management, clinical decision support, interoperability standards, and informatics research methods. They maintain an active research portfolio — securing grants, publishing peer-reviewed work, and collaborating with health systems — while advising students and serving on departmental and university committees. The role sits at the intersection of computer science, biomedical science, and clinical practice.
- What are the main duties of a Professor of Medical Informatics?
- Core duties include: design and deliver graduate-level courses in clinical informatics, health data standards, and biomedical NLP; develop and maintain a funded research program in areas such as EHR phenotyping, clinical AI, or population health analytics; and supervise doctoral dissertations and master's capstone projects from proposal through defense and publication.
- What credentials are typically required to become a Professor of Medical Informatics?
- Most tenure-track positions require a doctoral degree — PhD in biomedical informatics, health informatics, computer science, or a closely related field. MD/PhD or MD plus a graduate informatics degree is increasingly common at medical school-affiliated departments. Board certification in Clinical Informatics (ABPM) strengthens a candidate's profile, particularly for positions with clinical faculty appointments.
- Is clinical experience necessary for this role?
- Not universally, but it is a competitive advantage. Departments housed within medical schools or schools of public health often prefer candidates who have worked in clinical environments — as a physician, nurse informaticist, or health IT implementer — because applied context shapes better research questions. Pure computer science or data science candidates can be competitive if their research directly addresses clinical workflows or health outcomes.
- How important is grant funding to tenure and promotion?
- At R1 research universities, grant funding is the primary currency for tenure and promotion decisions. An NIH R01 or equivalent independent investigator award is the benchmark at most medical schools. Departments track both the number of active grants and the dollar volume; faculty who cannot sustain external funding after initial startup support face real tenure risk regardless of teaching quality or publication count.
- How is AI changing both the curriculum and the research in medical informatics?
- Large language models, foundation models trained on clinical text, and transformer-based clinical decision support tools have moved from research curiosity to clinical deployment in the span of three years. Professors are actively updating curricula to include prompt engineering, model evaluation in clinical contexts, and AI governance — while simultaneously shifting their own research toward validation, bias auditing, and human-factors issues that emerge when these systems touch patients.
- What is the difference between a Professor of Medical Informatics and a Chief Medical Information Officer (CMIO)?
- A Professor of Medical Informatics is primarily an educator and researcher whose impact is measured through students trained, papers published, and grants funded. A CMIO is an operational leadership role inside a health system, accountable for EHR governance, clinical informatics implementation, and physician adoption of technology. Some individuals hold both roles simultaneously through joint appointments, but the accountability structures and daily demands are quite different.
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