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Medical Informatics Jobs in Boston, MA (NOW HIRING)

Takeda

Head, R&D Automation Platform

Boston, MA · On-site +1

$220K - $333K/yr

Master's degree in Computer Science, Medical Informatics, Analytics, Bioinformatics, or related field, plus 11 years of related experience. Prior experience must include: lead enterprise-wide ...

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Medical Informatics information

See Boston, MA salary details

$46.2K

$106.9K

$180.9K

How much do medical informatics jobs pay per year?

As of Jul 17, 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 a rapidly growing field due to the increasing adoption of electronic health records and data-driven healthcare. Medical informatics professionals are in high demand across hospitals, clinics, and health technology companies, often requiring skills in data analysis, health IT systems, and certifications like the Certified Health Data Analyst (CHDA).

What can you do with a healthcare informatics degree?

A healthcare informatics degree prepares individuals for roles such as health information managers, clinical analysts, and health IT specialists. Graduates can work in hospitals, clinics, or health organizations, managing electronic health records, implementing health IT systems, and analyzing healthcare data to improve patient care and operational efficiency.

What is a Medical Informatics job?

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.

How do I start a career in healthcare informatics?

To start a career in healthcare informatics, gaining a relevant degree such as a bachelor's or master's in health informatics, health information management, or a related field is essential. Developing skills in data analysis, electronic health records (EHR) systems, and understanding healthcare workflows, along with obtaining certifications like Certified Health Data Analyst (CHDA), can improve job prospects.

What are 5 skills needed in health informatics?

Medical informatics professionals need strong technical skills such as data analysis, knowledge of electronic health records (EHR) systems, and understanding of healthcare workflows. They should also have good communication skills to collaborate with healthcare providers and familiarity with health data standards like HL7 and ICD codes. Critical thinking and problem-solving abilities are essential for optimizing health information systems and ensuring data accuracy.

What are the typical day-to-day responsibilities of a Medical Informatics professional?

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 to thrive in the Medical Informatics position, and why are they important?

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
Postdoctoral Fellow in Biomedical Informatics (Cai Lab)

Postdoctoral Fellow in Biomedical Informatics (Cai Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Posted 27 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

81st of 555 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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