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Informatics Phd Jobs in Reading, MA (NOW HIRING)

Head of Security

Cambridge, MA · On-site

$220K - $260K/yr

Advanced degree preferred (MSc in Security Informatics, PhD in Computer Science, or closely related field) or equivalent depth of hands-on experience * Extensive proven experience operating as a ...

Head of Security

Kendall Square, MA · On-site

$180 - $325/hr

Advanced degree preferred (MSc in Security Informatics, PhD in Computer Science, or closely related field) or equivalent depth of hands‑on experience * Extensive proven experience operating as a ...

Head of Security

Cambridge, MA · On-site

$220K - $260K/yr

Advanced degree preferred (MSc in Security Informatics, PhD in Computer Science, or closely related field) or equivalent depth of hands-on experience * Extensive proven experience operating as a ...

Showing results 21-40

Informatics Phd information

See Reading, MA salary details

$44.8K

$103.8K

$175.7K

How much do informatics phd jobs pay per year?

As of Aug 11, 2026, the average yearly pay for informatics phd in Reading, MA is $103,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $129,300.00 per year, depending on experience, location, and employer.

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.

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 can I do with a PhD in informatics?

A PhD in informatics prepares individuals for research, academia, and advanced roles in healthcare, technology, and data science. Graduates often work as data scientists, research scientists, informatics specialists, or in leadership positions that require expertise in data analysis, programming, and systems integration.

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.

Is a PhD in health informatics worth it?

A PhD in health informatics prepares individuals for research, academic, and leadership roles in healthcare data management, analytics, and technology development. It can lead to higher-level positions and specialized expertise but requires significant time and investment; career advancement often depends on experience, skills, and industry demand.

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.

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 job categories do people searching Informatics Phd jobs in Reading, MA look for? The top searched job categories for Informatics Phd jobs in Reading, MA are:
Infographic showing various Informatics Phd job openings in Reading, MA as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $103,840 per year, or $49.9 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (Patel Lab)

Harvard University

Boston, MA • On-site

$53K - $72K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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

HMS - Postdoctoral Fellow in Biomedical Informatics (Patel Lab)

We invite applicants for a postdoctoral fellow position in Chirag Patel's group at Harvard Medical School in Boston, Massachusetts. The exposome is a promising and emerging modality to explain disease variation that impacts humans on all levels: from the single cell to populations, providing a rich substrate to do novel work. We welcome applications from recent PhD graduates with experience in developing approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research findings and writing papers from day 1. The successful candidate will work with Chirag Patel's group to produce highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The candidate should be interested in focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab operations and collaborative environment.

Salary and Benefits: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. With this appointment, you are represented by the Harvard Academic Workers (HAW) –UAWfor purposes of collective bargaining and matters affecting your compensation and working conditions. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy.

Basic Qualifications: Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets.

Additional Qualifications: Advanced computational skills are required for the role in order to develop AI approaches to study the longitudinal physiology from diverse cohort populations. If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.

Contact Information: Nichole Parker, 695 Huntington Ave, STE514, Boston, MA 02115. Contact Email: nichole_parker@hms.harvard.edu

Salary Range: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

Minimum Number of References Required: 3. Maximum Number of References Allowed: 3.

Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Applicant Documents

Required Documents:

  • Curriculum Vitae
  • Cover Letter
  • Statement of Research

Optional Documents:

  • Publication

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