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Director Health Informatics Data Analyst Jobs in Baltimore, MD

family:Calibri,sans -serif"> Healthcare Business Analyst family:Calibri,sans -serif"> Location ... Calibri,sans -serif">Experience working with health informatics / data science, QA and management ...

Data Analyst

Lanham, MD ยท On-site +1

$70K - $85K/yr

Experience in direct marketing preferred * Excellent analytical skills. * Effective communication ... healthcare, paid holidays, and generous paid time off so you can have the time and space to ...

Experience in direct marketing preferred * Excellent analytical skills. * Effective communication ... healthcare, paid holidays, and generous paid time off so you can have the time and space to ...

Desired: Healthcare background and/or experience working with and analyzing timestamped transactional data. Knowledge and/or experience working with IBM Informatica, Talend, AbInitio, Pentaho and/or ...

Data Analyst LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

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Director Health Informatics Data Analyst information

See Baltimore, MD salary details

$42.2K

$85.1K

$124.2K

How much do director health informatics data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for director health 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 are the key skills and qualifications needed to thrive as a Director Health Informatics Data Analyst?

To thrive as a Director Health Informatics Data Analyst, you need deep expertise in health informatics, data analytics, and healthcare regulations, often supported by an advanced degree in health informatics, information systems, or a related field. Mastery of data management tools (such as SQL, SAS, and Python), electronic health records (EHR) systems, and certifications like Certified Health Data Analyst (CHDA) are typically required. Exceptional leadership, strategic thinking, and communication skills help in managing teams and collaborating across departments. These combined skills ensure effective data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

What does a Director Health Informatics Data Analyst do?

A Director Health Informatics Data Analyst oversees the collection, management, and analysis of healthcare data to improve patient outcomes, operational efficiency, and regulatory compliance. They lead teams of data analysts, collaborate with clinical and IT staff, and ensure that data systems support organizational goals. Their responsibilities often include developing data-driven strategies, ensuring data quality, and presenting insights to executive leadership for decision-making. The role requires a blend of technical expertise, leadership skills, and a deep understanding of healthcare operations.

How does a Director Health Informatics Data Analyst typically collaborate with clinical and IT teams to drive healthcare data initiatives?

A Director Health Informatics Data Analyst often serves as a bridge between clinical staff and IT departments, facilitating clear communication about data needs and system capabilities. They work closely with clinicians to understand workflow challenges and identify opportunities where data analysis can improve patient outcomes. At the same time, they collaborate with IT specialists to implement and optimize data systems, ensuring that health informatics tools are user-friendly and compliant with healthcare regulations. This cross-functional teamwork is essential for translating raw data into actionable insights that support clinical decision-making and organizational goals.

What is the difference between Director Health Informatics Data Analyst vs Health Informatics Data Analyst?

AspectDirector Health Informatics Data AnalystHealth Informatics Data Analyst
ResponsibilitiesOversees data strategies, manages teams, and aligns projects with organizational goalsAnalyzes healthcare data, develops reports, and supports decision-making
Required SkillsLeadership, project management, advanced data analysisData analysis, technical skills, healthcare knowledge
CertificationsCertified Health Data Analyst (CHDA), project management certificationsCHDA, health informatics certifications
Work EnvironmentHealthcare organizations, hospitals, health systemsHealthcare settings, clinics, health IT departments

The main difference is that the Director Health Informatics Data Analyst holds a leadership role, overseeing teams and strategic initiatives, while the Health Informatics Data Analyst focuses on data analysis and reporting. Both roles require healthcare data expertise and relevant certifications, but the director position involves higher-level management responsibilities.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Baltimore, MD?

The most popular types of Health Informatics Data Analyst jobs in Baltimore, MD are:

Vice Chair for Research | Director, Emergency Medicine Informatics

Stryker Corporation

Baltimore, MD โ€ข On-site

$190 - $270/hr

Other

Posted 10 days ago


Job description

ViceChairforResearch|Director,EmergencyMedicineInformaticsUniversityofMarylandSchoolofMedicine|UniversityofMarylandInstituteforHealthComputingPositionOverview

The Department of Emergency Medicine at the University of Maryland School of Medicine (UMSOM), in partnership with the University of Maryland Institute for Health Computing (UM-IHC), invites applications for a tenured or tenure-track faculty position at the rank of Associate Professor or Full Professor. The successful candidate will serve as Vice Chair for Research in the Department of Emergency Medicine and hold a joint appointment at UM-IHC as Director of Emergency Medicine Informatics, providing strategic and scientific leadership at the intersection of emergency medicine and health data science.

The following is an exceptional opportunity for a clinician-scientist with a strong foundation in biomedical informatics, clinical artificial intelligence, or health data science to build and lead a nationally recognized research program, shape the informatics infrastructure of real-world emergency care settings, and mentor the next generation of physician-informaticists.

Key Responsibilities DepartmentalLeadership(ViceChairforResearch)

  • Serve as Vice Chair for Research in the Department of Emergency Medicine, providing strategic oversight of the department's research portfolio, mentoring faculty in grant development, and representing the department on institutional research committees.
  • Work collaboratively with the Department Chair to develop and execute a departmental research strategic plan, recruit research-oriented faculty, and build the infrastructure necessary to support a thriving academic research enterprise.
  • Oversee departmental research operations including coordination with sponsored programs, IRB compliance, and research administration.

Informatics Leadership (Director Role at UM-IHC)

  • Serve as the strategic and scientific Director of Emergency Medicine Informatics within UM-IHC, setting the research agenda and overseeing related programs and personnel.
  • Lead the design, implementation, and evaluation of clinical decision support tools, predictive models, and AI/ML-enabled workflows within the emergency department.
  • Partner with the Departmentโ€™s Center for EM Data Analytics and Reporting (CEDAR), informatics, data engineering, and IT teams to optimize EHR-integrated clinical workflows and ensure high-quality data capture for research and quality improvement.
  • Partner with CEDAR to develop and oversee emergency medicine data assets, including clinical registries, real-world data pipelines, and federated data networks.
  • Establish and maintain collaborative relationships with industry, government agencies, and other academic medical centers to advance the field.
  • Represent emergency medicine informatics interests on UM-IHC governance bodies, UMSOM committees, and external advisory boards.

Research & Scholarship

  • Develop and maintain a funded, independent research program in emergency medicine, with a focus on informatics areas such as clinical AI/ML, natural language processing of clinical text, predictive analytics, clinical decision support, or large language model applications in acute care.
  • Seek and successfully compete for extramural funding from the NIH, AHRQ, PCORI, NSF, foundations, and/or industry sponsors.
  • Produce high-impact peer-reviewed publications and present findings at national and international conferences.
  • Collaborate across departments and schools on multi-disciplinary research initiatives involving clinical informatics, biostatistics, population health, and health services research.
  • Contribute to and lead multi-site research consortia and learning health system initiatives.
ClinicalPractice
  • Maintain board-certified clinical practice in emergency medicine, with shifts commensurate with academic appointment and research productivity.
  • Contribute clinical expertise to the design and testing of informatics tools and AI-enabled interventions in real-world emergency care settings.

Education & Mentorship

  • Mentor medical students, residents, fellows, and junior faculty interested in clinical informatics, AI, and data science.
  • Contribute to curriculum development in health informatics, data science, and evidence-based medicine across graduate medical education and fellowship programs.
  • Participate in teaching activities within the School of Medicine and, as appropriate, affiliated schools of public health, nursing, and pharmacy.

Required Qualifications

  • M.D., D.O., or M.D./Ph.D. (or equivalent terminal degree) with board certification or board eligibility in Emergency Medicine.
  • Eligibility for medical licensure in Maryland.
  • Demonstrated record of peer-reviewed publications and extramural funding commensurate with appointment at the Associate Professor or Full Professor level.
  • Substantial expertise in at least one of the following: artificial intelligence, machine learning, clinical decision support systems, EHR data science, learning health systems.
  • Experience with large-scale clinical data analysis, including structured and unstructured EHR data, administrative claims, or other real-world data sources.
  • Evidence of leadership in informatics, data science, or a related field (e.g., program leadership, center directorship, or national committee work).
  • Strong written and oral communication skills and a collaborative approach to interdisciplinary research.

Preferred Qualifications

  • Formal training in biomedical informatics, clinical data science, or a related field.
  • Subspecialty certification in clinical informatics.
  • Active NIH or AHRQ funding as principal investigator.
  • Experience with federated learning, privacy-preserving data analysis, or multi-site clinical data networks (e.g., PCORnet, CTSA consortium, USCDI).
  • Familiarity with regulatory and ethical frameworks for AI in clinical settings, including FDA guidance on SaMD and algorithmic bias mitigation.
  • Track record of successful translational informatics projects from research to clinical implementation.
  • Experience mentoring individuals from underrepresented groups in medicine and data science.
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