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Remote Bioinformatics Machine Learning Jobs in Utah

AI Engineer

Salt Lake City, UT · On-site +1

$101K - $159K/yr

... machine learning and deep learning models. Ability to build and deploy MCP servers to provide LLMs with secure, standardized access to local and remote tools.. * Applicant should have experience in ...

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish financial visibility and governance models for AI and machine learning workloads ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

Exposure to data science, forecasting, or machine learning workflows. * Experience with Power BI or ... Dollar for dollar 401K match of 6%. * Flexible work hours, hybrid schedules with remote work ...

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Remote Bioinformatics Machine Learning information

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 Utah? The most popular types of Bioinformatics Machine Learning jobs in Utah are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Utah? For Remote Bioinformatics Machine Learning jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Utah with the most Remote Bioinformatics Machine Learning job openings:

Bilingual NLP Engineer (Japanese)- Remote

André Global, Inc.

Salt Lake City, UT • On-site, Remote

Full-time

Posted 19 days ago


Job description

Role Overview
As an NLP Engineer , you will play a pivotal role in the development and
enhancement of NLP components integral to our products. We are seeking native speakers
proficient in Japanese as part of our Voice team to work on state-of-the-art voice modelling
and machine learning projects.
Key Responsibilities
Must-Haves
• Native or Near-Native Japanese required
• Willingness to engage in hands-on data work, including annotation and transcription
tasks
• Demonstrate exceptional knowledge of linguistics, including morphology, syntax, and
phonetics & phonology
• Possess a deep understanding of phonetic alphabets and fundamental concepts in
natural language processing (NLP) with a focus on its application in text-to-speech
(TTS) technologies
• Proficient in text manipulation, lexical analysis, and data processing, with basic
scripting skills, preferably in Python.
• Ability to conduct evaluations of various models and data sets, measure
improvements, and document findings effectively
• Capable of writing specifications for task automation and tool development,
contributing to process efficiency
Good-to-Haves
• Prior experience in a software development environment, collaborating closely with
engineering teams
• Familiarity with researching resources such as data repositories and code libraries to
support project requirements
• Familiarity in software issue analysis and troubleshooting quality issues in
speech-related applications
• Interest in Audio (We are an AI Voice & Audio Automation Company)
• Fluency in multiple languages.
• MSc/Ph.D. in a relevant field.