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Remote 8 Hour Rn Jobs in Dayton, OH (NOW HIRING)

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Remote 8 Hour Rn information

What is a Remote 8 Hour RN?

A Remote 8 Hour RN is a Registered Nurse who works from a location outside of a traditional healthcare facility, such as their home, for an 8-hour shift. These nurses typically provide care and support via telephone, video calls, or online platforms, handling responsibilities like triage, patient education, case management, and care coordination. Remote RNs play a crucial role in telehealth services, helping patients access care and information without visiting a clinic in person. Their work promotes efficiency, accessibility, and continuity of care for patients across various locations.

What are the key skills and qualifications needed to thrive as a Remote 8 Hour RN?

To thrive as a Remote 8 Hour RN, you need an active RN license, strong clinical assessment abilities, and experience in patient care management. Familiarity with telehealth platforms, electronic health records (EHRs), and secure communication systems is typically required. Excellent time management, communication skills, and the ability to work independently are crucial for remote nursing roles. These skills ensure safe, effective patient care and seamless collaboration within virtual healthcare teams.

What are some common challenges faced by Remote 8 Hour RNs, and how can they be addressed?

Remote 8 Hour Registered Nurses (RNs) often encounter challenges such as communication barriers with patients and colleagues, limited access to on-site resources, and managing work-life boundaries while working from home. To address these, it's important to leverage secure digital communication platforms, maintain regular check-ins with multidisciplinary teams, and set clear start and end times for your shifts. Many organizations also provide virtual support resources and ongoing training to help remote RNs stay connected and effective in their roles.

What is the difference between Remote 8 Hour Rn vs Remote 8 Hour Lpn?

AspectRemote 8 Hour RnRemote 8 Hour Lpn
CredentialsRegistered Nurse (RN) licenseLicensed Practical Nurse (LPN) license
Work EnvironmentHospitals, clinics, telehealthLong-term care, clinics, telehealth
Job DutiesAssessments, care planning, patient educationBasic patient care, medication administration
Industry UsageWidely used in healthcare facilitiesCommon in outpatient and long-term care

Both Remote 8 Hour Rn and Remote 8 Hour Lpn roles involve providing patient care remotely, but RNs typically handle more complex assessments and care planning, requiring a registered nurse license. LPNs focus on basic patient care and medication administration, often in outpatient or long-term care settings. The choice depends on your credentials and the level of responsibility desired.

What are the most commonly searched types of 8 Hour Rn jobs in Dayton, OH?

The most popular types of 8 Hour Rn jobs in Dayton, OH are:

What are popular job titles related to Remote 8 Hour Rn jobs in Dayton, OH?

For Remote 8 Hour Rn jobs in Dayton, OH, the most frequently searched job titles are:

What cities near Dayton, OH are hiring for Remote 8 Hour Rn jobs?

Cities near Dayton, OH with the most Remote 8 Hour Rn job openings:

Remote Sensing Software Engineer, Senior

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$86K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 17 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Remote Sensing Software Engineer, Senior
The Opportunity
As a Senior Remote Sensing Software Engineer, you will architect advanced SDA and remote sensing exploitation pipelines, guide technical direction, and lead multi-disciplinary teams building high-fidelity space observation analytics. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user-centric tools that accelerate mission outcomes.
What You'll Do:
  • Architect end-to-end remote sensing processing systems for EO/IR missions
  • Lead development of radiometric and spectral response models
  • Oversee advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement
  • Direct ML-based anomaly detection, behavior classification, and object discrimination frameworks
  • Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data using Bayesian or ML-based methods
  • Lead trajectory estimation and 3D kinematic modeling, including IOD, parallax exploitation, and uncertainty quantification
  • Architect scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms
  • Mentor junior engineers and help set technical road maps in collaboration with client and mission leadership

Join us. The world can't wait.
You Have:
  • 8+ years of experience in remote sensing, image or signal processing, or GEOINT data exploitation
  • Experience with orbital mechanics, satellite characterization, Domain-specific applications or SDA operational workflows
  • Experience with Python, scientific Python packages or other Object-oriented programming languages such as C++ or JavaScript
  • Experience architecting with large-scale software environments such as CUDA, HPC or cloud
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification
  • Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with remote sensing systems in support of missile warning or tracking missions
  • Experience with building or training synthetic models for simulation-aided training
  • Experience integrating EO/IR, RF, Radar, or GEOINT tracks into fused solutions
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI-augmented development workflows or agentic tools
  • Ability to display a record of publications, whitepapers, presentations or mission briefings
  • Master's degree in Computer Science, Software Engineering, Physics, Mathematics or related field preferred; Doctorate degree in Computer Science, Software Engineering, Physics, Mathematics or related field a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914