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Medical Informatics Jobs in Boston, MA (NOW HIRING)

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Medical Informatics information

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$46.2K

$106.9K

$180.9K

How much do medical informatics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for medical informatics in Boston, MA is $106,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $133,100.00 per year, depending on experience, location, and employer.

Is healthcare informatics in demand?

Healthcare informatics is in high demand due to the increasing adoption of electronic health records and data-driven patient care. Professionals in this field with skills in data analysis, health IT systems, and certifications like Certified Health Data Analyst (CHDA) are sought after across hospitals, clinics, and health organizations.

What is medical informatics?

A Medical Informatics job focuses on managing and analyzing health information using technology to improve patient care, healthcare operations, and medical research. Professionals in this field work with electronic health records (EHRs), clinical decision support systems, and data analytics tools. They bridge healthcare and IT, ensuring efficient data flow and security while optimizing patient outcomes. Roles may include health informaticians, data analysts, or IT specialists in healthcare settings.

What can you do with a medical informatics degree?

A medical informatics degree prepares individuals for roles such as health informatics specialists, clinical analysts, and health IT project managers. Graduates can work in hospitals, healthcare organizations, or technology companies, utilizing skills in data analysis, electronic health records, and health information systems to improve patient care and operational efficiency.

What does a medical informatics professional do?

Medical Informatics professionals are responsible for implementing and optimizing health information systems, analyzing clinical data, and supporting the integration of technology with patient care processes. They often work closely with clinicians, IT staff, and administrators to identify workflow improvements, develop training materials, and ensure compliance with data security regulations. Daily tasks may include troubleshooting system issues, conducting data analysis for quality improvement initiatives, and fostering effective communication between technical and clinical teams. This role offers a dynamic mix of technical and interpersonal work, making it ideal for individuals interested in both healthcare and technology.

What are the key skills and qualifications needed for medical informatics?

To thrive in Medical Informatics, you need a strong understanding of healthcare data management, information systems, and clinical workflows, typically supported by a background in health informatics, computer science, or a related field. Familiarity with electronic health record (EHR) systems, clinical decision support tools, data analytics platforms, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are highly valuable. Excellent problem-solving, communication, and project management skills help professionals collaborate effectively with clinicians and technical teams. These skills and qualities are crucial to facilitate seamless technology integration and improved healthcare delivery.

What are popular job titles related to Medical Informatics jobs in Boston, MA? For Medical Informatics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Medical Informatics jobs in Boston, MA look for? The top searched job categories for Medical Informatics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Medical Informatics jobs? Cities near Boston, MA with the most Medical Informatics job openings:
Medical Informatics jobs near you
Infographic showing various Medical Informatics job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $106,906 per year, or $51.4 per hour.

Postdoctoral Fellow in Biomedical Informatics (Cai Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Re-posted 23 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellow in Biomedical Informatics (Cai Lab)
School
Harvard Medical School
Department/Area
Biomedical Informatics
Position Description
A Postdoctoral Research Fellow position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic research group focused on several synergistic goals: generating actionable Real-World Evidence (RWE) from multi-institutional Electronic Health Records (EHR), improving the generalizability of clinical evidence across diverse populations using multi-source and multi-modal data, and accelerating drug discovery by leveraging these rich, integrated datasets. This role offers a unique opportunity to develop methodological innovations that bridge the gap between computational theory and impactful clinical application.
We are seeking a highly motivated individual with a strong statistical and machine learning background. The ideal candidate will have existing expertise in several of the following areas, aligned with our research focus: 1) Causal inference, invariant learning and representation learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing.
Basic Qualifications
Candidates must hold a Ph.D. in a quantitative field, such as statistics, biostatistics, computer science, or a related discipline. Success in this position requires strong quantitative research capabilities and demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must possess excellent written and oral communication abilities to effectively disseminate research findings and collaborate within a multidisciplinary team.
Additional Qualifications
Special Instructions
Contact Information
Mo Moro
Contact Email
mohammed_moro@hms.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines
Minimum Number of References Required
Maximum Number of References Allowed
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