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Remote Machine Learning Engineer Biotech Jobs in Utah

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... machine learning, object storage, and high-performance computing at customer sites and in the lab ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Python Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Logan, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Cedar City, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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Remote Machine Learning Engineer Biotech information

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Utah? The most popular types of Machine Learning Engineer Biotech jobs in Utah are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Utah look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Utah are:
What cities in Utah are hiring for Remote Machine Learning Engineer Biotech jobs? Cities in Utah with the most Remote Machine Learning Engineer Biotech job openings:
DevOps & Google Cloud Platform Engineer

DevOps & Google Cloud Platform Engineer

Medici Land Governance

Salt Lake City, UT • On-site, Remote

$52 - $71.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Job description

Job Description: DevOps & Google Cloud Platform Engineers support the Development Teams in Salt Lake City and Ireland and provide technical support for MLG applications deployed for Zambia, Rwanda, and other sites in the future. You will coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure. You will help train the rest of the engineering team on best practices. You will audit systems and deliverables for standards of security, monitoring, and reliability. You will also assist with internal technical support (e.g., permissions, and services). What You Will Do:Design and deploy with Kubernetes in Google Cloud Manage and monitor our cloud infrastructure Assist and sometimes lead developers to ensure their products are ready for deployment Develop, maintain, and enhance the CI/CD procedures and processes, communicating and training those aspects to stakeholders Coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure Help train the engineering team on best practices Audit systems and deliverables for standards of security and reliability Assist with internal technical support (e.g., permissions, services) What You Should Have:Bachelor’s Degree in Computer Engineering or another relevant field 3-5 years of relevant experience, with a proven track record of resolving problems Understanding of Docker and its tooling Familiarity with some IAAS tools, (e.g., Puppet, Chef, Terraform, Vagrant) Understanding of Git and CI/CD best practices, preferably Gitlab (or GitHub) Experience deploying solutions into a Cloud provider, ideally Google Cloud (e.g., Kubernetes, SQL, storage) Experience with DNS, CloudFlare, and cloud networking Excellent communication skills, both written and oral, and the ability to communicate technical issues to the Development team Ability to work remotely and autonomously with little oversight Flexibility to accommodate communication across time zones, sometimes including night and weekend calls Fluency in English, both oral and written Passion for our MLG mission and desire to be part of a dynamic, growing companyWhat We Hope You Have:Experience with Python Experience deploying Java or Node services Familiarity with support services tools (e.g., JIRA) Experience with Kustomize and YAML formatting Experience in a startup Experience with blockchains, big data, or machine learning Business experience, preferably in land and property rights, land titling, and land administration systems What We Offer:Flexible work schedulesComprehensive Medical, Dental, and Vision benefitsBasic Term Life & AD&D (company paid)Short/Long Term Disability (company paid)Employee Assistance Program (EAP) (company paid)401(K) Retirement Plan (6% company match)Supplemental & Voluntary PlansCommuter BenefitsFlexible Spending Account (FSA)Health Savings Account (HSA)Legal & Financial ProtectionPet Insurance & Discount Programs*Benefits vary based on position, tenure, location, and employee election
Additional Information: Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.