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Remote Research Director Jobs in Missouri (NOW HIRING)

Jobgether

Your research will have a direct path from experimentation to regulatory submissions, hospital ... This is a fully remote opportunity for an independent researcher who wants their work to move ...

Jobgether

Our partner is looking for a Project Director, Early Phase and Translational Research (EPTR) based ... Ability to work effectively in a remote, international, and collaborative environment.

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

... and R&D is critical to support the engineering strategy, program oversite, and project pipeline ... Remote based role with up to 75% travel What You'll do as a Director, Engineering * Set priorities ...

ComForCare

Assistant & Research Intern

MO · On-site +1

Owner or Director of Operations QUALIFICATIONS * Is an experienced clinician or student, a ... This is a remote position. Live your best life possible while helping others live theirs Our ...

Jobgether

This is a fully remote leadership opportunity focused on delivering complex AI and data programs ... You'll work closely with senior client stakeholders, researchers, data scientists, ML engineers ...

e2E

Director of Tax

Kansas City, MO · On-site +1

$105K - $120K/yr

... remote and hybrid work arrangements. Applicants should either currently reside in the Kansas City ... Research and register clients with applicable governmental entities at the federal, state, county ...

Jobgether

$80K - $110K/yr

Fully remote working environment within Europe. * Full-time employment. * Opportunity to build and ... Direct opportunity to influence next-generation human-centric video generation technology. * Work ...

New

University of Rochester

$29.33 - $41.06/hr

Perform other project coordination activities as directed by the Program Manager, Administrative leadership, or MPIs of the URCC NCORP Research Base. * Assists or leads sections for URCC NCORP ...

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Remote Research Director information

What does a remote research director do?

A Remote Research Director leads and manages research projects and teams from a remote location. Their responsibilities include designing research strategies, overseeing data collection and analysis, and ensuring research objectives are met. They coordinate with stakeholders, manage budgets, and ensure the quality and integrity of research outputs. Working remotely, they utilize digital collaboration tools to communicate effectively with their teams and clients.

How does a remote research director effectively manage and collaborate with distributed research teams?

A Remote Research Director typically leverages digital collaboration tools such as project management platforms, video conferencing, and shared document repositories to coordinate research activities across different locations. Regular virtual meetings, clear communication protocols, and well-defined project milestones help maintain team alignment and productivity. While managing remote teams can present challenges like time zone differences and fostering team cohesion, successful directors prioritize transparent communication and support professional development to build an engaged, high-performing team. This collaborative approach ensures research objectives are met efficiently, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as a remote research director, and why are they important?

To thrive as a Remote Research Director, you need advanced expertise in research methodologies, data analysis, project management, and typically a graduate degree in a relevant field. Familiarity with statistical software (such as SPSS or R), collaborative platforms, and data visualization tools is crucial. Exceptional leadership, communication, and strategic thinking skills set outstanding candidates apart, especially in a virtual environment. These abilities ensure effective oversight of research projects, cohesive remote teamwork, and impactful, data-driven decision-making.

What is the difference between Remote Research Director vs Remote Data Analyst?

AspectRemote Research DirectorRemote Data Analyst
Required CredentialsAdvanced degrees in research, management experienceBachelor's or master's in data analysis, statistics
Work EnvironmentLeads research teams, strategic planningAnalyzes data sets, reports findings
Employer & Industry UsageResearch firms, corporations, academiaBusiness, marketing, healthcare sectors
Common Search & ComparisonStrategic research roles, leadershipData analysis, reporting roles

The Remote Research Director focuses on leading research initiatives and managing teams, requiring advanced degrees and strategic oversight. In contrast, a Remote Data Analyst primarily analyzes data sets to generate insights, often with a background in statistics. Both roles are vital in data-driven industries but differ in scope, responsibilities, and required experience.

What are the most commonly searched types of Remote Research jobs in Missouri?

The most popular types of Remote Research jobs in Missouri are:

What are popular job titles related to Remote Research Director jobs in Missouri?

For Remote Research Director jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Research Director jobs in Missouri look for?

The top searched job categories for Remote Research Director jobs in Missouri are:

What cities in Missouri are hiring for Remote Research Director jobs?

Cities in Missouri with the most Remote Research Director job openings:

Remote Research Director jobs near you

ML Research Engineer / Scientist

Jobgether

Remote

Full-time

Medical, Vision

Posted 10 days ago

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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