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Biomedical Informatics Jobs (NOW HIRING)

1985

Program Manager, Informatics

Dallas, TX

... biomedical and electronic health record (EHR) data through development, implementation, and evaluation of clinical applications of biomedical informatics methods. The IMAGINe Lab functions at the ...

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How much do biomedical informatics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for biomedical informatics in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What can you do with a biomedical informatics degree?

A biomedical informatics degree prepares individuals for roles such as clinical informaticist, data analyst, health IT specialist, or research scientist. Graduates work with electronic health records, health data analysis, and healthcare technology systems to improve patient care and medical research. Skills in programming, data management, and understanding healthcare workflows are essential in this field.

What are the key skills and qualifications needed to thrive in the Biomedical Informatics position, and why are they important?

To thrive in Biomedical Informatics, you need a strong background in healthcare, computer science, and data analytics, typically with an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with electronic health records (EHRs), and knowledge of standards such as HL7 or FHIR are often required, as are certifications like AMIA Health Informatics Certification. Excellent problem-solving, communication, and teamwork skills help distinguish top candidates in collaborative, interdisciplinary environments. These skills are crucial for transforming complex health data into actionable insights that drive improvements in patient care and healthcare systems.

What is biomedical informatics?

Biomedical informatics is a field that combines healthcare, computer science, and information technology to manage and analyze biomedical data. Professionals in this area develop and implement systems like electronic health records and use data analysis tools to improve patient care and medical research.

What are the typical daily responsibilities of someone working in Biomedical Informatics?

Professionals in Biomedical Informatics spend their days analyzing and managing healthcare data, designing or optimizing data systems, and collaborating with clinicians, IT staff, and researchers to implement technology solutions. Tasks often include developing algorithms to improve clinical workflows, ensuring data integrity and security, and facilitating the integration of health information systems. Much of the work involves translating clinical needs into technical requirements and interpreting data-driven results to help guide decision-making in healthcare settings. This role often requires continuous learning to keep pace with advancements in both medical science and information technology.

What is a Biomedical Informatics job?

A Biomedical Informatics job involves applying computational techniques, data analysis, and information systems to improve healthcare, biomedical research, and patient care. Professionals in this field work on managing and analyzing medical data, developing health informatics tools, and optimizing electronic health records. They may collaborate with clinicians, researchers, and IT specialists to enhance decision-making and streamline healthcare processes. Roles vary from data scientists and bioinformaticians to health IT specialists and clinical informaticians.

What kind of job can I get with a bioinformatics degree?

A bioinformatics degree can lead to roles such as bioinformatics analyst, computational biologist, or data scientist in healthcare, research institutions, or biotech companies. These jobs typically require skills in programming, data analysis, and understanding of biological data, often using tools like R, Python, or SQL.

Is biomedical informatics a good career?

Biomedical informatics is a growing field that combines healthcare, data analysis, and information technology, offering opportunities in research, clinical settings, and industry. It often requires skills in programming, data management, and understanding of medical systems, with job prospects improving as healthcare increasingly relies on digital solutions.
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Biomedical Informatics jobs near you
Infographic showing various Biomedical Informatics job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.
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 29 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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