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Informatics Phd Jobs (NOW HIRING)

Prime Medicine

Informatics Engineer

Cambridge, MA · On-site

Requirements : * 5+ years of full-time engineering experience (3+ for those with an MS or PhD) in ... Laboratory informatics experience with Benchling or comparable ELN/LIMS, as an operator, builder ...

Jobtailor

PhD or equivalent experience in materials science, chemistry, chemical engineering, data science ... Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating ...

Prime Medicine, Inc.

Requirements * 5+ years of full-time engineering experience (3+ for those with an MS or PhD) in ... Laboratory informatics experience with Benchling or comparable ELN/LIMS, as an operator, builder ...

Medasource

Clinical Informatics Data Engineer

Coppell, TX · On-site

$60 - $80/hr

PhD in Clinical Informatics. * Preferred: Experience developing informatics solutions for precision care or clinical research. * Preferred: Knowledge of clinical practice, research, and workflows in ...

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How much do informatics phd jobs pay per year?

As of Sep 13, 2026, the average yearly pay for informatics phd in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is an Informatics PhD?

An Informatics PhD is a doctoral degree focused on the study of information processing, computational systems, and the design and use of information technology in various domains. Students in this program conduct original research in areas such as data science, human-computer interaction, artificial intelligence, or biomedical informatics. The degree prepares graduates for advanced research, academic, or industry positions, where they contribute to the development and understanding of innovative information systems and technologies.

What are the key skills and qualifications needed to thrive as an Informatics PhD?

To thrive as an Informatics PhD, you need advanced expertise in data analysis, algorithm development, and computational modeling, typically supported by a doctoral degree in informatics or a related field. Familiarity with programming languages (such as Python or R), data visualization tools, and research publication systems is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you stand out in academic and industry settings. These skills are crucial for driving innovative research, effectively collaborating with interdisciplinary teams, and advancing the field of informatics.

What are some common challenges faced by Informatics PhD students during their research, and how can they be managed?

Informatics PhD students often encounter challenges such as balancing independent research with coursework, managing large datasets, and staying updated with rapidly evolving technologies. Collaboration with interdisciplinary teams and regular meetings with advisors can help manage these challenges. Effective time management and leveraging resources like research seminars, workshops, and peer support groups are also crucial for success.

What is the difference between Informatics Phd vs Data Scientist?

AspectInformatics PhdData Scientist
Required CredentialsPhD in Informatics or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic, research institutions, healthcare, or industry R&DCorporate, tech companies, finance, or consulting firms
Industry UsageResearch, academia, healthcare informatics, and policyData analysis, predictive modeling, business insights

Informatics Phds typically focus on research, theory, and developing new knowledge in informatics, often working in academia or research settings. Data Scientists usually apply data analysis techniques in industry to solve practical problems. While both roles require strong analytical skills, the Informatics Phd emphasizes research and advanced knowledge, whereas Data Scientists focus on data-driven decision-making in business environments.

Is a PhD in health informatics worth it?

A PhD in health informatics prepares individuals for research, academic, and leadership roles in healthcare technology and data management. It can lead to higher-level positions, increased earning potential, and expertise in areas like data analysis, systems design, and health information systems. However, the degree requires significant time and investment, and job prospects depend on experience, skills, and industry demand.

Is informatics still in demand?

Informatics PhDs are in demand across healthcare, technology, and research sectors due to their expertise in data management, analysis, and systems integration. The growing emphasis on health IT, data-driven decision making, and digital transformation continues to create opportunities for advanced informatics professionals with skills in programming, data modeling, and health informatics standards.

What can I do with a PhD in informatics?

A PhD in informatics prepares individuals for research, teaching, and advanced roles in healthcare, technology, and data science. Graduates often work as data scientists, informaticians, research scientists, or in leadership positions in healthcare IT, leveraging skills in data analysis, programming, and systems design.
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Informatics Phd jobs near you
Infographic showing various Informatics Phd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $98,409 per year, or $47.3 per hour.

Post Doctoral Scholar - Biomedical Informatics

Columbus, OH • On-site

Wexner Medical Center
See more jobs at Wexner Medical Centerexternal

$45K - $62K/yr

Other

Posted 11 days ago

Job description

This Post Doctoral Scholar will be responsible for conducting natural language processing research in pharmaco-informatics, and leading and assisting in collaboration projects in biomedical science. In particularly, this Post Doctoral Scholar will develop new AI methods in advancing natural language processing analysis for text data, build knowledge portal for pharmacology data, conduct collaborative translational pharmacology research in pre-clinical and clinical settings and participate into the training of graduate students.

Minimum Education Required:
  • A PhD degree in biomedical informatics or computer science.
Required Qualifications:
  • Prefer research experience in natural language processing. No working experience is required.

Thank you for your interest in working at Ohio State.

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.

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