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Remote Biomedical Machine Learning Jobs in Spartanburg, SC

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

... and machine learning through our market-leading software and services. In 2021, ServiceChannel ... row. #LI-Remote Fortive Corporation Overview Fortive's essential technology makes the world ...

Remote Biomedical Machine Learning information

See Spartanburg, SC salary details

$15

$27

$38

How much do remote biomedical machine learning jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for remote biomedical machine learning in Spartanburg, SC is $27.87, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $31.49 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Spartanburg, SC? For Remote Biomedical Machine Learning jobs in Spartanburg, SC, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Spartanburg, SC look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Spartanburg, SC are:
What cities near Spartanburg, SC are hiring for Remote Biomedical Machine Learning jobs? Cities near Spartanburg, SC with the most Remote Biomedical Machine Learning job openings:
Infographic showing various Remote Biomedical Machine Learning job openings in Spartanburg, SC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Contract, 1% Nights, and 1% Summer. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $57,970 per year, or $27.9 per hour.

Vision Engineer

DISHER

Greenville, SC โ€ข Remote

Full-time

Re-posted 13 days ago


Job description

Vision Engineer – Remote / Travel
 
DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies".
 
What it's like to work here:
Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you!
What you will get to do:
  • Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas.
  • Write, implement, and debug PLC software.
  • Provide support to existing vision equipment globally.
  • Follow health, safety, environmental regulations, and safety protocols, (LOTO).
  • Build mutual trust, respect, and cooperation among all team members.
  • Communicate across cross-functional groups.
  • Be responsible for projects from technical specification to startup support.
  • Develop contingency and disaster recovery plans.
  • Create training documentation.
What will make you successful:
  • Three years of experience in a controls/vision engineering role.
  • Must be a self-starter, team player, work well with others, and have a positive attitude.
  • Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy.
  • Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio.
  • Knowledgeable of Keyence & Cognex cameras.
  • Must have ability to prioritize, multi-task and meet deadlines.
  • C+ or C++ Programming capabilities.
  • Knowledge on machine learning with AI capabilities.
  • Self-driven and willingness to work long hours during installations, if required.
  • Willingness to travel globally – up to 30-50%.

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.