ZipRecruiter

Log In

2

Remote Cognitive Science Research Jobs in Missouri

Jobgether

Our partner is looking for a ML Research Engineer / Scientist based in Netherlands. Join a research ... This is a fully remote opportunity for an independent researcher who wants their work to move ...

Varsity Tutors

Linguistics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... research. * Curriculum Awareness & Adaptive Instruction: Familiar with introductory and ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Varsity Tutors

Linguistics Tutor

Kansas City, MO · Remote

$18 - $40/hr

... research. * Curriculum Awareness & Adaptive Instruction: Familiar with introductory and ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Varsity Tutors

Linguistics Tutor

Columbia, MO · Remote

$18 - $40/hr

... research. * Curriculum Awareness & Adaptive Instruction: Familiar with introductory and ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Meridial

$8 - $65/hr

... pace with cutting-edge research, and streamline problem-solving for scientists and learners ... Remote Seniority level: Mid - Senior Level

Solventum

Medical Science Specialist

Saint Louis, MO · On-site +1

$187K - $257K/yr

... researchers. You will be responsible for communicating complex clinical data, supporting ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and ... Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ...

Healthcare

Medical Science Specialist

Saint Louis, MO · Remote

$187K - $257K/yr

... academic researchers.You willbe responsible forcommunicating complex clinical data, supporting ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

next page

Showing results 1-20

All JobsCognitive Science Research JobsRemote Cognitive Science Research JobsRemote Cognitive Science Research Jobs in Missouri

Remote Cognitive Science Research information

What is remote cognitive science research?

Remote cognitive science research involves studying how people think, learn, and process information, but the work is conducted from a location outside of a traditional laboratory or office—often from home. Researchers use online tools to design experiments, collect data, and analyze results with participants who may be located anywhere in the world. This approach enables flexibility, broader access to study participants, and the ability to conduct large-scale studies efficiently. Remote cognitive science research is increasingly popular due to advancements in digital technology and the growing availability of online research platforms.

What skills and qualifications are needed to thrive as a remote cognitive science researcher?

To thrive as a Remote Cognitive Science Researcher, you typically need a strong background in psychology, neuroscience, or a related field, often supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis software (e.g., SPSS, R, Python), experimental design tools, and academic databases is crucial. Strong written communication, self-motivation, and collaboration skills help researchers effectively share findings and coordinate with remote teams. These skills ensure rigorous research, accurate data interpretation, and productive teamwork, which are vital for advancing knowledge in cognitive science.

What are common challenges faced when conducting cognitive science research remotely, and how can they be addressed?

One common challenge in remote cognitive science research is maintaining effective communication and collaboration among team members, as researchers often work across different time zones and locations. Additionally, recruiting study participants and ensuring data quality can be more complex without in-person oversight. To address these issues, teams typically use collaborative tools like shared digital workspaces, regularly scheduled video meetings, and secure online platforms for data collection and management. Clear communication protocols and thorough documentation also help ensure that all team members stay aligned and that research standards are maintained.

What is the difference between Remote Cognitive Science Research vs Remote Data Analyst?

AspectRemote Cognitive Science ResearchRemote Data Analyst
Required CredentialsDegree in cognitive science, psychology, neuroscience, or related fieldsDegree in statistics, data science, computer science, or related fields
Work EnvironmentResearch labs, universities, or industry research teams, often collaborative and interdisciplinaryBusiness or tech companies, analyzing datasets remotely, often in a fast-paced environment
Industry UsageAcademia, research institutions, tech companies focusing on human cognitionFinance, marketing, tech firms, and healthcare sectors
Common Search & ComparisonYesNo

Remote Cognitive Science Research involves studying human cognition through experiments and analysis, often requiring a background in psychology or neuroscience. Remote Data Analysts focus on interpreting data sets to inform business decisions, typically with skills in statistics and data tools. While both roles involve data analysis, their focus, credentials, and work environments differ significantly.

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

The most popular types of Cognitive Science Research jobs in Missouri are:

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

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

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

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

What cities in Missouri are hiring for Remote Cognitive Science Research jobs?

Cities in Missouri with the most Remote Cognitive Science Research job openings:

Remote Cognitive Science Research jobs near you

ML Research Engineer / Scientist

Jobgether

Remote

Full-time

Medical, Vision

This job post has expired today. Applications are no longer accepted.

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.
 
 
#LI-CL1
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.
apply for this job

Apply