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Learning Analytics Remote Jobs in Missouri (NOW HIRING)

Jobgether

... deep learning frameworks. * Analyze model performance rigorously and establish reproducible ... Fully remote position open to candidates worldwide. * Location-flexible compensation with a cash ...

New

Harris

Quality Assurance Analyst

Louisiana, MO · On-site +1

$55K - $65K/yr

Ability to manage priorities, meet deadlines, and work independently in a remote team environment ... Openness to learning and responsibly applying AI-assisted tools to improve testing efficiency ...

Gainwell Technologies

Business Analyst - Healthcare - UAT

MO · On-site +1

$51K - $74K/yr

... flexibility, learning, and career development. You'll add to your technical credentials and ... Fully remote options from most US locations and territories * Video cameras must be used during all ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

... analytical solutions This position offers the opportunity to work fully remote within the United ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

... analytical solutions This position offers the opportunity to work fully remote within the United ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

... analytical solutions This position offers the opportunity to work fully remote within the United ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... You will work across customer-facing applications, backend services, data pipelines, analytical ...

Jobgether

$14/hr

The role combines campaign strategy, data analysis, business problem-solving, and ownership of ... This is an excellent opportunity to build a long-term remote career while partnering directly with ...

New

Solid Rock Recruiting LLC

LITHC Tax

Kansas City, MO · On-site +1

$80K - $150K/yr

Louis, Chicago, Nashville, Kansas City, or Denver Remote option available for CPAs A nationally ... Analyze and allocate tax credits and partnership income/loss * Assist with tax planning and ...

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All JobsLearning Analytics JobsLearning Analytics Remote JobsLearning Analytics Remote Jobs in Missouri

Learning Analytics Remote information

What is a learning analytics remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are the key skills and qualifications needed to thrive as a learning analytics professional working remotely?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are popular job titles related to Learning Analytics Remote jobs in Missouri?

For Learning Analytics Remote jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Learning Analytics Remote jobs in Missouri look for?

The top searched job categories for Learning Analytics Remote jobs in Missouri are:

What cities in Missouri are hiring for Learning Analytics Remote jobs?

Cities in Missouri with the most Learning Analytics Remote job openings:

Learning Analytics Remote jobs near you
Infographic showing various Learning Analytics Remote job openings in Missouri as of June 2026, with employment types broken down into 64% Full Time, 24% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.

ML Research Engineer / Scientist

Jobgether

Remote

Full-time

Medical, Vision

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Research Engineer / Scientist based in Netherlands.

Join a research-driven team building next-generation AI models designed to understand complete CT studies rather than isolated findings.
You'll work on foundation models, vision-language learning, and multi-finding detection using medical imaging data at unprecedented scale.
Your research will have a direct path from experimentation to regulatory submissions, hospital deployment, and real-world patient care.
You'll own models and experiments end to end, from developing the initial idea through training, evaluation, calibration, and production readiness.
You'll work alongside experienced ML engineers, software engineers, and fellowship-trained radiologists across multiple clinical specialties.
The role combines deep technical research with practical impact, giving you the opportunity to solve challenging problems in medical AI with exceptionally rich real-world data.
This is a fully remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice.

Accountabilities
  • Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level.
  • Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
  • Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists.
  • Build models capable of identifying and prioritizing multiple urgent clinical findings simultaneously while maintaining safe and clinically appropriate operating points.
  • Design and execute independent experiments, from hypothesis formation and architecture selection through training, evaluation, and analysis.
  • Develop custom architectures, training pipelines, loss functions, and distributed training approaches using modern deep learning frameworks.
  • Analyze model performance rigorously and establish reproducible evaluation methodologies suitable for clinically consequential AI systems.
  • Work closely with fellowship-trained radiologists to understand clinical requirements, interpret results, and translate research findings into practical model improvements.
  • Contribute to models and research that progress toward regulatory submissions, clinical deployment, and real-world patient use.
  • Take ownership of research projects end to end and make informed decisions about which experiments and approaches are most likely to deliver meaningful improvements.
  • Collaborate with ML and software engineering teams to move successful research from experimentation toward robust, deployable systems.
Requirements:
  • Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation.
  • Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work, rather than relying solely on existing implementations.
  • Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models.
  • Strong understanding of rigorous experimentation, evaluation, reproducibility, and model validation.
  • Experience working with large-scale datasets and distributed training environments is highly valuable.
  • A strong interest in solving technically challenging problems where model performance and reliability have meaningful real-world consequences.
  • Ability to work effectively with researchers, engineers, and clinical experts in a collaborative environment.
  • Medical imaging, 3D computer vision, or volumetric-data experience is advantageous but not required.
  • Experience with vision-language models or self-supervised learning is a plus.
  • Familiarity with DICOM, CT imaging, radiology, or other medical-data formats and workflows is beneficial.
  • A PhD, research publications, or a strong academic research background is a plus, but not a prerequisite.
  • Prior medical-AI experience is not required; a willingness to learn clinical concepts directly from radiology experts is valued.
  • Strong written and verbal communication skills and the ability to work independently in a fully remote environment.
Benefits:
  • Fully remote position open to candidates worldwide.
  • Location-flexible compensation with a cash-weighted base salary determined according to the local market in the country where you work.
  • Specific compensation range for your location shared early in the hiring process.
  • No equity included in international offers, with compensation structured transparently around local-market cash pay.
  • Opportunity to work with a real-world CT dataset covering approximately 10 million patients, paired with radiology reports.
  • Direct collaboration with fellowship-trained radiologists across areas including chest, body, MSK, neuro, and oncology.
  • Opportunity to work on research that can progress from experimentation to FDA submissions, hospital deployments, and patient care within months.
  • Exposure to large-scale foundation models, vision-language learning, distributed training, medical imaging, and clinically focused AI evaluation.
  • High degree of ownership over research ideas, experiments, models, and technical direction.
  • Opportunity to work alongside researchers and engineers with significant contributions to medical AI, open datasets, algorithms, and clinical AI systems.
  • A small, research-oriented team where successful ideas can move quickly from research into production.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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.
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