ZipRecruiter

Log In

2

Remote Animal Science Research Jobs in Missouri (NOW HIRING)

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 ...

micro1 AI

Research Consultant - Physics AI

Columbia, MO · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Meridial

$8 - $65/hr

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

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 ...

next page

Showing results 1-20

All JobsAnimal Science Research JobsRemote Animal Science Research JobsRemote Animal Science Research Jobs in Missouri

Remote Animal Science Research information

What is remote animal science research?

Remote animal science research involves conducting scientific studies on animals and their ecosystems using digital tools and technologies, often without being physically present in the field or laboratory. Researchers may use remote data collection methods such as satellite tracking, camera traps, virtual simulations, and online databases to gather and analyze information. This approach allows scientists to monitor animal behavior, health, and populations from a distance, increasing efficiency and minimizing human disturbance to wildlife. Remote animal science research is especially valuable for studying hard-to-reach or endangered species, and it often supports conservation efforts worldwide.

How does collaboration typically work for remote animal science research teams?

In remote animal science research roles, collaboration often relies on digital communication tools such as video conferences, shared databases, and cloud-based project management platforms. Researchers regularly coordinate with colleagues, data analysts, and sometimes field technicians to share findings, discuss methodologies, and plan experiments. While physical lab presence is limited, frequent virtual meetings and document sharing help maintain strong team cohesion and ensure project milestones are met. Building strong communication skills and being proactive in updates are key to successful collaboration in this remote setting.

What are the key skills and qualifications needed to thrive in remote animal science research, and why are they important?

To excel in Remote Animal Science Research, you need a strong background in biology or animal science, research methodology, and data analysis, usually supported by a relevant degree. Familiarity with statistical software (e.g., R, SPSS), GIS tools, and remote data collection platforms is typically required. Excellent written communication, critical thinking, and self-motivation are vital soft skills for collaborating virtually and managing independent projects. These skills ensure accurate data collection, insightful analysis, and effective teamwork, which are crucial for advancing scientific knowledge in remote research settings.

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

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

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

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

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

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

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

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

Remote Animal Science Research jobs near you

ML Research Engineer / Scientist

Jobgether

Remote

Full-time

Medical, Vision

Posted 4 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.
 
 
#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