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Remote Biomedical Machine Learning Jobs in Orem, UT

DataAnnotation

SDLC Engineer - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · On-site +1

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Orem, UT

Remote Biomedical Machine Learning information

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

As of Jul 14, 2026, the average hourly pay for remote biomedical machine learning in Orem, UT is $24.80, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.98 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 Orem, UT? For Remote Biomedical Machine Learning jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Orem, UT look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Orem, UT are:
What cities near Orem, UT are hiring for Remote Biomedical Machine Learning jobs? Cities near Orem, UT with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
Senior Layout Extraction Engineer

Senior Layout Extraction Engineer

PDF Solutions

Midvale, UT • On-site, Remote

$120K - $160K/yr

Full-time

Posted 12 days ago

Job description

Overview

PDF is seeking an experienced Layout (FIRE) Extraction Engineer to join the DFI team, who is responsible for Apps Support. The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong initiative and communication skills and possesses the drive to deliver quality results on time in a dynamic, multi-disciplined, intensive and highly productive small team environment.


Responsibilities

1. Running Layout (FIRE) Extraction on client site to support onsite inspection application development.

2. Remote support Layout (FIRE) Extraction for the R&D and Demo Application development.


Qualifications

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports


Pay Range
USD $120,000.00 - USD $160,000.00 /Yr.Qualifications:

Bachelor’s Degree or higher in electrical engineering. Degrees, such as statistics or IT-related discipline may work, depending on work experience.

Skill Set

o Core Technology & Knowledge

· Theoretical and practical experience in OPC/RET (Resolution Enhancement Technology)

· Comprehensive understanding of CMOS process flow

· Knowledge of mask fabrication and design rules (DRC)

o Software/Tool Proficiency

· Experience with OPC/Mask simulation tools:

· Mentor Graphics Calibre OPC/ILT

· Synopsys Sentaurus/Litho

· ASML Brion Tachyon

· Layout processing tools:

· Cadence, Synopsys, or KLayout

· Scripting & Programming:

· Hands-on experience with Linux

· Python, Perl, Tcl, Shell scripting

· Experience in large-scale data processing and automation

o Algorithm & Data Processing Skills

· Understanding of pattern matching, shape transformation, and data optimization

· Experience in OPC optimization using Machine Learning / AI (preferred)

o Analytical & Problem-Solving Skills

· Analysis and improvement of discrepancies between layout and actual pattern

· Experience analyzing SEM/E-beam inspection data

· Experience optimizing process window (PW) and depth of focus (DOF)

o Collaboration & Work Skills

· Experience collaborating with Design, Lithography, and Fab Process teams

· Experience modifying and optimizing designs based on customer/internal feedback

· Ability to read and understand English technical papers/datasheets and write reports

Education:UNAVAILABLEEmployment Type: FULL_TIME

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