1

Telecommute Academic Editor Jobs (NOW HIRING)

next page

Showing results 1-20

Telecommute Academic Editor information

See salary details

$29.5K

$66.5K

$105.5K

How much do telecommute academic editor jobs pay per year?

As of Jun 11, 2026, the average yearly pay for telecommute academic editor in the United States is $66,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $92,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Telecommute Academic Editor jobs? Cities with the most Telecommute Academic Editor job openings:
What are the most commonly searched types of Academic Editor jobs? The most popular types of Academic Editor jobs are:
What states have the most Telecommute Academic Editor jobs? States with the most job openings for Telecommute Academic Editor jobs include:
Research Scientist - QUARC - Department of Biomechanics

Research Scientist - QUARC - Department of Biomechanics

University of Nebraska Omaha

Omaha, NE

$65K/yr

Other

Posted yesterday


Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its education programs or activities, including admissions and employment. The University prohibits any form of retaliation taken against anyone for reporting discrimination, harassment, or retaliation for otherwise engaging in protected activity. Read the full statement.
Job Title Research Scientist - QUARC - Department of Biomechanics Job Grade RA24S Division Academic Affairs College/Dept College of Education, Health and Human Sciences Department Biomechanics Requisition Number 2026-00239 FTE (full-time equivalency) 1.0 Work Schedule M-F, 8-5 Does the position provide the opportunity to work Remotely/Telecommuting? Appointment Term 12- 12/12 months Is this position essential personnel according to the inclement weather policy? No Pay Information $65,000 Pay Schedule Annually FLSA Designation Exempt Position Summary
This position is necessary to:
1. Sustain day-to-day analytical operations of QUARC, including data processing, method development, and statistical support for funded projects.

2. Provide expertise in specialized quantitative and AI/ML methods (e.g., recurrence quantification analysis, fractal and complexity analyses, symbolic regression, deep learning, Bayesian modeling) that are central to the Core's service portfolio.

3. Assist faculty and graduate student investigators with study design, data collection oversight, and manuscript preparation.

4. Support the development and maintenance of open-source software tools (e.g., R packages, MATLAB routines, Python libraries) associated with QUARC's methodological contributions.

5. Contribute to grant preparation and reporting for Core-affiliated projects.

6. Develop and apply AI/ML pipelines for analysis of large-scale movement, physiological, and behavioral datasets.
Job Duties
Responsibility Area: Quantitative Data Analysis Duties:
Perform advanced nonlinear and statistical analyses of human movement, physiological, and behavioral time series data. Methods include but are not limited to: Recurrence Quantification Analysis (RQA), Detrended Fluctuation Analysis (DFA), Sample Entropy, Lyapunov Exponent estimation, Symbolic Regression, fractal analysis, and Bayesian multilevel modeling.

Percentage Of Time 30 Essential Function: Responsibility Area: AI/ML Pipeline Development and Application Duties:
Design, implement, and evaluate machine learning and deep learning models applied to movement, sensor, and physiological data. Applications may include classification, regression, anomaly detection, foundation model fine-tuning, and AI-assisted discovery of governing equations of motion.

Percentage Of Time 15 Essential Function: Yes Responsibility Area: Methods Development and Software Support Duties:
Develop, test, and maintain computational tools and pipelines in R, MATLAB, and/or Python for Core users. Contribute to open-source packages and reproducible research workflows.
Percentage Of Time 15 Essential Function: Yes Responsibility Area: Methods Development and Software Support Duties:
Develop, test, and maintain computational tools and pipelines in R, MATLAB, and/or Python for Core users. Contribute to open-source packages and reproducible research workflows.
Percentage Of Time 15 Essential Function: Yes Responsibility Area: Research Collaboration and Consultation Duties:
Consult with faculty and student investigators on study design, data collection protocols, and appropriate analytical methods. Attend project meetings and contribute to team science efforts across QUARC-affiliated grants.

Percentage Of Time 20 Essential Function: Yes Responsibility Area: Manuscript and Grant Support Duties:
Assist with writing and editing manuscripts for peer-reviewed publication. Contribute analytical sections, figures, and methods descriptions to grant proposals and progress reports.

Percentage Of Time 15 Essential Function: Yes
Required and Preferred Qualifications
Required Education
PhD in Biomechanics, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a closely related field. ABD (All But Dissertation) candidates will be considered; degree must be completed within six months of hire.

Required Experience
Minimum 2 years of research experience (graduate or postgraduate) involving quantitative analysis of human movement, physiological, or sensor-based time series data.
Required License/Certification
NA
Required Additional Qualifications:
Technical Skills:
o Demonstrated proficiency in R, MATLAB, and/ Python for data analysis and visualization.

o Working knowledge of nonlinear dynamical analysis methods (e.g., differential equations, RQA, entropy measures, fractal analyses).

o Demonstrated experience applying machine learning or deep learning methods to scientific data (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).

o Familiarity with statistical modeling approaches including multilevel/mixed effects models and Bayesian inference.

o Experience with at least one low-level or compiled programming language (e.g., C, C++, Fortran) for performance-critical computational tasks.

Preferred Education
NA
Preferred Experience Preferred License/Certification Preferred Additional Qualifications:
Compliance Requirements
Credit Check No Motor Vehicle Licensing Validity Check No Pre-employment Physical Request and Assessment No Drug Screen No