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Remote Materials Informatics Scientist Jobs in Washington, DC

Bachelor's degree in Human Factors Engineering, Psychology, Cognitive Science, Health Informatics ... Experience developing user guidance, job aids, training materials, or knowledge resources that ...

Material Chemist

Lorton, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0241727 Location: Lorton,VA,US Share job via: Share Material Chemist ... You'll wear multiple hats such as a formulator, engineer, applied scientist, applicator, and ...

Bachelor's degree in Human Factors Engineering, Psychology, Cognitive Science, Health Informatics ... Experience developing user guidance, job aids, training materials, or knowledge resources that ...

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

... and informatics across the cancer control continuum. SRP is within the National Cancer Institute ... Manage scientific engagement and analytics projects for SRP, including support for research and ...

New

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications ...

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

... science, biomedical informatics, and IT operations. The selected applicant will be subject to a pre ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

Showing results 41-60

Remote Materials Informatics Scientist information

See Washington, DC salary details

$48.1K

$111.5K

$188.6K

How much do remote materials informatics scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote materials informatics scientist in Washington, DC is $111,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $138,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Materials Informatics Scientist vs Remote Materials Data Analyst?

AspectRemote Materials Informatics ScientistRemote Materials Data Analyst
Required CredentialsAdvanced degree in materials science, informatics, or related field; knowledge of data science and programmingBachelor's or master's in materials science, data analysis, or related field; proficiency in data tools
Work EnvironmentResearch-focused, interdisciplinary teams, often in R&D settingsData-driven roles within manufacturing, quality control, or research teams
Employer & Industry UsageUsed in R&D labs, tech companies, and materials innovation firmsCommon in manufacturing, quality assurance, and analytics departments

The Remote Materials Informatics Scientist focuses on developing models and algorithms to analyze materials data, often requiring advanced degrees and research experience. In contrast, the Remote Materials Data Analyst primarily interprets existing data to support decision-making, typically with a bachelor's or master's degree. Both roles are vital in materials industries but differ in scope, responsibilities, and required expertise.

What are popular job titles related to Remote Materials Informatics Scientist jobs in Washington, DC?

For Remote Materials Informatics Scientist jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Materials Informatics Scientist jobs in Washington, DC look for?

The top searched job categories for Remote Materials Informatics Scientist jobs in Washington, DC are:

Infographic showing various Remote Materials Informatics Scientist job openings in Washington, DC as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $111,457 per year, or $53.6 per hour.

Human Factor Engineer

Ibility

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Founded in early 2021, Ibility is a Service-Disabled Veteran-Owned Small Business and a Woman-Owned Small Business, headquartered in Gaithersburg, MD. Ibility is a small but mighty company that is positioned for rapid growth. Simply put, we help government leaders to achieve their mission by designing creative products and programs that delight their customers and make their employees more efficient - building trust and improving overall satisfaction. We use human-centered design principles in every engagement because we believe the end-user is critical to the long-term success of any solution. Our team is fun, passionate, bold, and creative. We live our mission every day - to inspire people, create cool stuff, and make a lasting impact on the world!
Position Overview:
The Human Factors Engineer applies human-centered design principles to improve workforce readiness, user adoption, and workflow optimization across enterprise healthcare information systems and digital health technologies. Working with clinical, technical, training, and operational stakeholders, the Human Factors Engineer evaluates how users interact with technology, identifies workflow and usability challenges, and recommends solutions that improve user enablement, training and onboarding, peer support, and overall system performance. The role supports the adoption and optimization of healthcare technologies by identifying opportunities to improve usability, strengthen workforce readiness, and enhance day-to-day clinical operations.
Please note this position is contingent upon award (Aug/Sept 2026)
Key Responsibilities:
  • Support centralized training & onboarding initiatives by evaluating user learning needs, developing user-centered enablement resources, and contributing to workforce readiness activities that promote successful adoption.
  • Collaborate with super users & peer support networks to gather end-user feedback, promote knowledge sharing, identify adoption challenges, and support continuous improvement of user strategies.
  • Conduct workflow observations, usability assessments, and user feedback sessions to support user experience & insight integration, identifying opportunities to improve workflow efficiency, system usability, and overall end-user experience.
  • Assist with long-term staffing analysis by evaluating user roles, workflow demands, and workforce trends to help identify opportunities for improved staffing models, role optimization, and sustainable operational support.
  • Analyze qualitative and quantitative user feedback, document findings, and recommend human-centered solutions that improve workforce readiness, user adoption, workflow optimization, and overall system performance.

Required Qualifications:
  • Bachelor's degree in Human Factors Engineering, Psychology, Cognitive Science, Health Informatics, Healthcare Administration, Information Systems, or a related field.
  • Minimum of 3 years of professional experience supporting human-centered design, usability, workflow analysis, user adoption, training, or healthcare technology implementation initiatives.
  • Experience observing end users, gathering feedback, and identifying opportunities to improve system usability, workflow efficiency, or workforce readiness.
  • Experience supporting software implementations, digital transformation initiatives, or healthcare information systems.
  • Demonstrated ability to facilitate meetings, interviews, focus groups, or user feedback sessions with multidisciplinary stakeholders.
  • Strong written and verbal communication skills with the ability to document findings and present recommendations to technical and non-technical audiences.
  • Experience developing user guidance, job aids, training materials, or knowledge resources that support technology adoption.
  • Ability to analyze qualitative and quantitative data to identify user challenges and recommend process improvements.
  • Proficiency with Microsoft Office Suite, including Word, Excel, PowerPoint, and Teams.

Preferred Qualifications:
  • Master's degree in Human Factors Engineering, Psychology, Cognitive Science, Health Informatics, Healthcare Administration, Information Systems, or a related field.
  • Experience supporting Oracle Health (Cerner), Epic, or other enterprise Electronic Health Record (EHR) platforms.
  • Experience supporting Veterans Health Administration (VHA), Department of Veterans Affairs (VA), Department of Defense (DoD), or other federal healthcare organizations.
  • Familiarity with clinical workflows across inpatient, outpatient, or ancillary healthcare settings.
  • Experience supporting organizational change management, user adoption, or workforce enablement initiatives.
  • Knowledge of human-centered design principles, usability evaluation methods, and workflow optimization techniques.
  • Familiarity with Section 508 accessibility requirements and inclusive design principles.
  • Experience supporting Super User, Peer Support, or End User Optimization programs.

Benefits:
  • Health, Dental, and Vision Plans
  • Short Term Disability / Long Term Disability / Life Insurance / Accidental Death and Dismemberment
  • Health Savings Account
  • Unlimited Paid Time Off
  • 11 Federal Holidays Off
  • 401k

We are committed to diversity, inclusion, and accessibility. We are an Equal Opportunity Employer in all aspects of employment and do not discriminate for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.