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Phd Health Informatics Jobs (NOW HIRING)

Job Summary Aptive is seeking a Health Informatics Leader with advanced analytics experience who ... PhD / Masters / BS degree in data science, statistics, or computer/information science or similar ...

Job Summary Aptive is seeking a Health Informatics Leader with advanced analytics experience who ... PhD / Masters / BS degree in data science, statistics, or computer/information science or similar ...

Job Summary Aptive is seeking a Health Informatics Program Manager to lead several engineering ... PhD / Masters / BS degree in data science, statistics, or computer/information science or similar ...

Job Summary Aptive is seeking a Health Informatics Program Manager to lead several engineering ... PhD / Masters / BS degree in data science, statistics, or computer/information science or similar ...

$150 - $200/hr

Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare ... Education PhD or equivalent terminal degree in a relevant discipline * Experience 8 years of job ...

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Phd Health Informatics information

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$42.5K

$98.4K

$166.5K

How much do phd health informatics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for phd health informatics 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 a PhD in Health Informatics?

A PhD in Health Informatics is a doctoral degree that focuses on the advanced study of how information technology is used to improve healthcare delivery, management, and research. Students in this program learn to develop, implement, and evaluate health information systems, analyze health data, and contribute to innovations in healthcare technology. Graduates are prepared for careers in academia, research, healthcare organizations, and the healthcare technology industry, often working on projects that enhance patient care, healthcare operations, and medical research. The program typically involves both coursework and original research culminating in a dissertation.

What are the key skills and qualifications needed to thrive as a PhD in Health Informatics, and why are they important?

To thrive as a PhD in Health Informatics, you need advanced knowledge in data analytics, health information systems, and research methodologies, typically supported by a doctoral degree in health informatics or a related field. Familiarity with programming languages (such as Python or R), electronic health record (EHR) systems, and data visualization tools is essential, along with research publication experience. Strong problem-solving skills, interdisciplinary collaboration, and the ability to communicate complex findings to diverse audiences make candidates stand out. These abilities are critical for driving innovation, improving healthcare outcomes, and advancing research in a rapidly evolving digital health environment.

What are some typical interdisciplinary collaborations for professionals with a PhD in Health Informatics?

Professionals with a PhD in Health Informatics often work closely with clinicians, data scientists, software developers, and healthcare administrators to design and implement effective health information systems. Collaborations frequently extend to public health experts and policy makers, especially on projects involving large-scale data analysis or system-level improvements. These interdisciplinary teams enable the integration of technical expertise with healthcare knowledge, resulting in more robust and user-friendly solutions for patient care and organizational efficiency.

What is the difference between Phd Health Informatics vs Health Data Analyst?

AspectPhd Health InformaticsHealth Data Analyst
Required CredentialsPhD in Health Informatics or related fieldBachelor's or Master's in Data Science, Health Informatics, or related field
Work EnvironmentResearch settings, academia, healthcare organizationsHospitals, clinics, healthcare companies, government agencies
Employer & Industry UsageAcademic institutions, research centers, healthcare IT companiesHealthcare providers, insurance companies, public health agencies

While a Phd in Health Informatics focuses on advanced research, theory, and developing new methodologies, a Health Data Analyst primarily interprets healthcare data to support decision-making. Both roles require familiarity with healthcare systems and data analysis, but the Phd emphasizes research and academic contributions, whereas the Data Analyst is more operational and applied.

Is health informatics in high demand?

Health informatics professionals, including those with a PhD, are in high demand due to the increasing adoption of electronic health records, data analytics, and healthcare technology. The field offers strong job growth prospects, especially for individuals skilled in data management, health IT systems, and healthcare regulations.

What can you do with a PhD in health informatics?

A PhD in health informatics prepares individuals for research, teaching, and leadership roles in healthcare data analysis, health IT development, and policy development. Graduates often work as researchers, data scientists, health IT consultants, or academic faculty, utilizing skills in data management, programming, and healthcare systems. Advanced knowledge of health data standards and analytics tools is essential for these positions.

What are popular job titles related to Phd Health Informatics jobs?

For Phd Health Informatics jobs, the most frequently searched job titles are:

Infographic showing various Phd Health Informatics job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,409 per year, or $47.3 per hour.

Director Health Informatics

Remote

Aptive
Chemical Manufacturing • 1 - 5K employees

Full-time

Posted 6 days ago


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5.6

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Job description

Job Summary

Aptive is seeking a Health Informatics Leader with advanced analytics experience who can turn requirements and research into reports, clear insights, predictions, and business intelligence. The ideal candidate will have an interest in improving our healthcare system through data science applied across patient safety, policy, usability, clinical and revenue cycle domains. Using their informatics expertise, the Health Informatics Director will influence internal and federal leadership teams as a trusted advisor with a focus on improving healthcare operations and clinical outcomes. The position offers stimulating advanced analytics activities (AI/ML), in a rich healthcare environment.

 

This position is remote but requires periodic travel to Aptive's Alexandria, Virginia headquarters.

Primary Responsibilities
  • Lead Aptive's health informatics practice working with government and commercial entities to apply data science, decision intelligence, and analytics to transform healthcare operations and improve patient outcomes.
  • Guide, mentor, and lead a senior data team ensuring interoperability standards, security, and general requirements are met
  • Collect, elaborate, and manage requirements from customers - actively participate in setting up and managing new studies
  • Develop algorithms and/or tools to support data collection and analyze raw data: assessing quality, profiling, cleansing, performing exploratory data analysis
  • Design and develop advanced operations research and data science techniques, diagnostic and predictive models and machine learning algorithms (e.g., logistic regression, random forest, decision tree, etc.) using large data sets. Train and evaluate these models using strong statistical knowledge
  • Deploy models to operational settings with understanding of the providers workflows
  • Interpret and present results to providers and business customers
  • Develop data visualization techniques to articulate findings
  • Inform leadership and subordinates on technical tools, methodologies, and resources used for conducting studies and analyzing classified and unclassified information
  • Lead team in the application of operations research techniques and in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical technique
  • Plan, forecast, identify, and define major problems and future needs, seeks root causes, develops practical courses of action and timely solutions and identifies opportunities for significant process enhancements and recommended changes
  • Evaluate the performance of decision systems, models, and tools; involves peers and team members in analyzing strengths and weaknesses in performance, and spearheads pilots and planned functional or technical change initiatives
  • Manage relationship with VA clients and strategic partners
Minimum Qualifications
  • 15+ years of professional experience and domain expertise in Health Informatics, Health IT, and/or Clinical Informatics
  • Expert level skill across Python, R, SQL, Java, Julia, Scala and applications like SPSS, SAS
  • 5+ years of advanced data analysis (AI/ML) experience
  • Strong experience working with data and AI/ML platforms (Azure ML, AWS AI/ML, DataBricks, Palantir, SnowFlakes, etc.)
  • Expertise in software/big data tools: Hadoop, Spark, and Kafka
  • Proficiency in visualization tools (PowerApps, PowerBI, Looker, Metabase, Tableau, seaborn, etc.)
  • Excellent problem-solving, collaboration and communication (verbal and writing) skills with fluency in MS Office. Passion for continuous learning as data science evolves.
  • Healthcare, research, and consulting experience preferred
  • PhD / Masters / BS degree in data science, statistics, or computer/information science or similar area a minimum
Desired Qualifications
  • Expertise in Electronic Health Record Management (EHRM) system integration and support
  • Direct experience supporting the Department of Veterans Affairs and/or Veterans Health Administration
About Aptive

Aptive is a modern federal consulting firm focused on human experience, digital services, and business transformation. We harness creativity, technology, and culture to connect people and systems to impact the world. We're advisors, strategists, and engineers focused on people, above all else.

We believe in generating success collaboratively, leaving client organizations stronger after every engagement and building trust for the next big challenge. Our work inspires people, fuels change and makes an impact. Join our team to be part of positive change in your community and our nation.

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: FULL_TIME

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