ZipRecruiter

Log In

2

Remote Bioinformatics 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.

next page

Showing results 1-20

All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Orem, UT

Remote Bioinformatics Machine Learning information

See Orem, UT salary details

$51.7K

$82.1K

$130K

How much do remote bioinformatics machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote bioinformatics machine learning in Orem, UT is $82,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $112,600.00 per year, depending on experience, location, and employer.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Orem, UT? The most popular types of Bioinformatics Machine Learning jobs in Orem, UT are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Orem, UT? For Remote Bioinformatics Machine Learning jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Orem, UT look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Orem, UT are:
Remote Bioinformatics 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

Apply