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Clinical Informatics Data Analyst Jobs in Baltimore, MD

Axle

Temporary - Clinical Research Coordinator

Baltimore, MD · On-site

$24 - $32/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informatics, and data science applications to research centers and healthcare organizations ... Perform accurate and timely data analysis, report results and findings and respond to sponsor ...

Axle

Temporary - Clinical Research Coordinator

Baltimore, MD · On-site

$24 - $32/hr

... informatics, and data science applications to research centers and healthcare organizations ... Perform accurate and timely data analysis, report results and findings and respond to sponsor ...

Axle

Temporary - Clinical Research Coordinator

Baltimore, MD · On-site

$24 - $32/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informatics, and data science applications to research centers and healthcare organizations ... Perform accurate and timely data analysis, report results and findings and respond to sponsor ...

Axle

Computer Systems Analyst

Baltimore, MD · On-site

... informatics, and data science applications to research centers and healthcare organizations ... Advise the clinical technicians on application use; Offer guidance on techniques to improve data ...

Axle

Computer Systems Analyst

Baltimore, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informatics, and data science applications to research centers and healthcare organizations ... Advise the clinical technicians on application use; Offer guidance on techniques to improve data ...

Axle

Computer Systems Analyst

Baltimore, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informatics, and data science applications to research centers and healthcare organizations ... Advise the clinical technicians on application use; Offer guidance on techniques to improve data ...

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Showing results 41-60

All JobsClinical Informatics Data Analyst JobsClinical Informatics Data Analyst Jobs in Baltimore, MD

Clinical Informatics Data Analyst information

See Baltimore, MD salary details

$42.2K

$85.1K

$124.2K

How much do clinical informatics data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for clinical informatics data analyst in Baltimore, MD is $85,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $99,400.00 per year, depending on experience, location, and employer.

What does a clinical informatics data analyst do?

A Clinical Informatics Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and operational efficiency. They work closely with clinical staff and IT teams to develop reports, dashboards, and data-driven insights that inform decision-making. Their duties often include cleaning and organizing data, ensuring data integrity, and supporting electronic health record (EHR) systems. They play a vital role in identifying trends, optimizing workflows, and ensuring compliance with healthcare regulations.

How does a clinical informatics data analyst collaborate with clinicians and IT teams to improve healthcare outcomes?

Clinical Informatics Data Analysts frequently act as a bridge between clinical staff and IT departments. They work closely with clinicians to understand workflow needs and data challenges, then translate those requirements into technical solutions or data reports. Regular meetings, project updates, and cross-functional teams are common, allowing the analyst to ensure that the data systems effectively support patient care and operational goals. This collaboration is vital for implementing new technologies, optimizing electronic health records, and ensuring data-driven decision-making in healthcare settings.

What is the difference between Clinical Informatics Data Analyst vs Clinical Data Coordinator?

AspectClinical Informatics Data AnalystClinical Data Coordinator
CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPHIMS beneficialBachelor's in health sciences, nursing, or related field; often requires experience in clinical data management
Work EnvironmentHospitals, clinics, health IT companies, research institutionsHospitals, clinics, healthcare facilities, research settings
Primary FocusAnalyzing clinical data, developing reports, supporting informatics projectsManaging and maintaining clinical data, data entry, quality assurance

The Clinical Informatics Data Analyst focuses on analyzing and interpreting clinical data to support healthcare decisions, while the Clinical Data Coordinator manages and ensures the accuracy of clinical data entry and maintenance. Both roles work within healthcare settings but have different primary responsibilities related to data handling and analysis.

What skills and qualifications are needed to thrive as a clinical informatics data analyst?

To thrive as a Clinical Informatics Data Analyst, you typically need a background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, data science, or a related field. Experience with electronic health record (EHR) systems, SQL, data visualization tools like Tableau or Power BI, and relevant certifications such as Certified Health Data Analyst (CHDA) are also valuable. Strong problem-solving, attention to detail, and effective communication skills enable analysts to interpret data accurately and collaborate with clinical teams. These competencies are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.

What are popular job titles related to Clinical Informatics Data Analyst jobs in Baltimore, MD?

For Clinical Informatics Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Clinical Informatics Data Analyst jobs in Baltimore, MD look for?

The top searched job categories for Clinical Informatics Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Clinical Informatics Data Analyst jobs?

Cities near Baltimore, MD with the most Clinical Informatics Data Analyst job openings:

Clinical Informatics Data Analyst jobs near you
Infographic showing various Clinical Informatics Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $85,065 per year, or $40.9 per hour.

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

Johns Hopkins University

Baltimore, MD • On-site

$203K/yr

Full-time

Re-posted 4 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

188th of 618 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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