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Clinical Informatics Jobs in Baltimore, MD (NOW HIRING)

Axle

Temporary - Clinical Research Coordinator

Baltimore, MD · On-site

$24 - $32/hr

... informatics, and data science applications to research centers and healthcare organizations ... Axle is seeking a Clinical Research Coordinator (Temporary - Approximately 4 Months) to join our ...

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Clinical Informatics information

See Baltimore, MD salary details

$51.7K

$102.9K

$163K

How much do clinical informatics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for clinical informatics in Baltimore, MD is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $114,800.00 per year, depending on experience, location, and employer.

What is clinical informatics?

Clinical informatics is a field within the discipline of information technology. The purpose of clinical informatics is to implement technology and theories in order to collect, store, and modify clinical information and electronic records to improve patient care and information sharing among healthcare professionals. Clinical informatics investigates the most efficient and user-friendly ways data can be organized, structured, shared, and accessed. It has practical implications for healthcare provision throughout the industry, including at hospitals, clinics, and military and research facilities.

What is the best degree for clinical informatics?

A master's degree in health informatics, healthcare administration, or a related field is typically preferred for clinical informatics roles. Many professionals also pursue certifications such as the Certified Healthcare Technology Professional (CHTP) or Certified Professional in Healthcare Information and Management Systems (CPHIMS) to enhance their qualifications.

How does a clinical informatics professional typically collaborate with healthcare providers and IT teams?

Clinical Informatics professionals play a key bridging role between healthcare providers and IT departments. They work closely with clinicians to understand workflow needs and translate those requirements into technical solutions, such as optimizing electronic health records (EHR) or implementing new clinical decision support tools. Regular collaboration involves facilitating training sessions, gathering feedback, and troubleshooting system issues to ensure that technology effectively supports patient care. This cross-functional teamwork is essential for successful adoption and ongoing improvement of health information systems.

What is the difference between Clinical Informatics vs Medical Informatics?

AspectClinical InformaticsMedical Informatics
CredentialsOften requires certifications like CAHIMS or CPHIMSSimilar certifications, with additional focus on broader healthcare data
Work EnvironmentHospitals, clinics, healthcare systemsResearch institutions, healthcare IT companies, academia
Employer & IndustryHealthcare providers, hospitalsHealthcare technology firms, research organizations
Search & Comparison IntentFocuses on clinical settings and patient careEncompasses broader healthcare data management and policy

Clinical Informatics primarily concentrates on applying informatics to improve patient care within clinical settings. Medical Informatics has a broader scope, including healthcare data management, research, and policy. Both roles require similar certifications and often overlap in skills, but their focus areas differ based on work environment and industry applications.

What is clinical informatics?

Clinical informatics is a field that focuses on the use of information technology and data to improve patient care and healthcare outcomes. Professionals in this area work at the intersection of healthcare, computer science, and information management to design, implement, and optimize electronic health records, clinical decision support systems, and other digital tools. Their goal is to streamline healthcare processes, enhance patient safety, and ensure that clinicians have access to accurate and timely information. Clinical informaticists often collaborate with physicians, nurses, IT professionals, and administrators to bridge the gap between clinical practice and technology.

What do you do in clinical informatics?

A clinical informatics professional designs, implements, and manages health information systems to improve patient care and clinical workflows. They analyze data, ensure system interoperability, and often work with electronic health records (EHRs) to optimize healthcare delivery. Strong technical skills and knowledge of healthcare processes are essential in this role.

What are the key skills and qualifications needed to thrive as a clinical informatics specialist, and why are they important?

To thrive as a Clinical Informatics specialist, you need a solid background in healthcare, information technology, and data analysis, often supported by a degree in health informatics or a related field. Familiarity with electronic health record (EHR) systems, clinical decision support tools, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are commonly required. Strong problem-solving abilities, effective communication, and the capacity to bridge clinical and technical teams are standout soft skills. These competencies are essential for optimizing healthcare delivery, ensuring data accuracy, and facilitating the adoption of technology in clinical environments.
More about Clinical Informatics jobs
What are the most commonly searched types of Clinical Informatics jobs in Baltimore, MD? The most popular types of Clinical Informatics jobs in Baltimore, MD are:
What are popular job titles related to Clinical Informatics jobs in Baltimore, MD? For Clinical Informatics jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Clinical Informatics jobs in Baltimore, MD look for? The top searched job categories for Clinical Informatics jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Clinical Informatics jobs? Cities near Baltimore, MD with the most Clinical Informatics job openings:
Clinical Informatics jobs near you
Infographic showing various Clinical Informatics job openings in Baltimore, MD as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Research Software Engineer - Clinical NLP (Data Science & AI Institute)

Johns Hopkins University

Baltimore, MD • On-site

$203K/yr

Full-time

Re-posted 25 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

184th of 616 rated colleges and universities

Job description

The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance.
DSAI seeks a Research Software Engineer - Clinical NLP Specialty with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. The successful candidate will play a critical role in designing, implementing, rigorously evaluating, deploying and maintaining robust and scalable NLP pipelines and models to extract meaningful information from unstructured clinical text in secure environments, with the goal of enabling high-impact solutions across a range of biomedical domains. Experience with large language models - such as fine-tuning, prompt engineering, model evaluation, and adapting foundation models for domain-specific clinical tasks - is desirable, particularly in contexts that demand privacy, robustness, and interpretability. The clinical NLP RSE will work closely with clinicians, informatics researchers, data scientists and other RSEs to ensure NLP systems meet application goals with methodological rigor and scientific reproducibility.
DSAI engineers are at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the DSAI successful.
Specific Duties & Responsibilities
  • The successful candidates will participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations.
  • The projects will require development of state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments.
  • Projects will involve analysis of massive data sets either in the cloud or on premises.
  • Projects will require development of novel NLP software pipelines for processing of unstructured clinical notes.
  • Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement.
  • They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.).
  • It is a high-level goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects.

Special knowledge, skills, and abilities
  • Strong NLP, LLM, machine learning and deep learning skills.
  • Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment.
  • Expert-level knowledge of multiple modern NLP and LLM libraries and models.
  • Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency, interpretability, and reproducibility.
  • Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language models, including applying responsible AI principles in clinical or sensitive-data contexts
  • Expert-level knowledge of the Python programming language.
  • Familiarity with or willingness to learn C++ or other languages as may be needed.
  • Familiarity with software containerization technologies such as Docker and Singularity.
  • Familiarity with the Databricks platform.
  • Fluency in the Linux operating system and related tools.
  • Familiarity with modern software engineering best practices, such as Git source control, peer code review, test-driven development, build automation and continuous integration / continuous delivery.
  • Familiarity with cloud development and deployment.
  • Demonstrated leadership and self-direction.
  • Willingness to teach others both informally and in short course format.
  • Willingness to continually learn new tools and techniques as needed.
  • Excellent verbal and written communication.

Minimum Qualifications
  • Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics, with strong scientific computing and/or mathematics background.
  • Three year's experience working in software development in large clinical NLP projects in industry or academia.
  • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • PhD in a quantitative discipline.
  • Five (5) years' experience as above in clinical NLP.
  • Experience in CUDA GPU programming.
  • Experience authoring open-source Python packages in PyPI.
  • Experience in open-source project governance.
  • Experience in open-source community adoption initiative.

Clinical Data Expertise
  • Familiarity with EHR systems, clinical note structures (e.g., SOAP notes, discharge summaries), and associated data formats (e.g., HL7, FHIR, IHE). Basic medical terminology/ontologies (e.g., UMLS, SNOMED CT, ICD-10).

Core Clinical NLP Tasks & Tools
  • Named Entity Recognition (NER), Relation Extraction, Negation/Hedge Detection, Named Entity Normalization/Linking, Clinical Phenotyping.

Deep learning tools
  • BERT/BioBERT/ClinicalBERT

Data Science for Clinical Studies
  • Understanding of the ultimate research and clinical goals for analyzing these notes, such as retrospective cohort identification (phenotyping), quality measure reporting, predictive modeling, and safety/adverse event detection.

Classified Title: Scientific Software Engineer
Job Posting Title (Working Title): Research Software Engineer - Clinical NLP (Data Science & AI Institute)
Role/Level/Range: APPTSTAF/01/ST
Starting Salary Range: Commensurate w/exp.
Employee group: Full Time
Schedule: M-F, 37.5 hrs/wk
FLSA Status: Exempt
Location: Hybrid/Mount Washington Campus
Department name: DSAI Institute
Personnel area: Whiting School of Engineering

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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