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Remote Bioinformatics Machine Learning Jobs in Nevada

Relativity

Principal Applied Scientist

Las Vegas, NV · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

TEKsystems

AI Cyber Engineer

Las Vegas, NV · Remote

$80 - $90/hr

Skills Security, Cloud, Machine learning, Azure, Risk management, Artificial intelligence ... remote position. Application Deadline This position is anticipated to close on Jun 11, 2026. About ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198.50K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198.50K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

UMB Bank

AI Data Architect

Carson City, NV · On-site +1

$62.50 - $80.25/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... However, the remote location must be within the US. How you will spend your time: * Define and ...

Deloitte

Databricks Engineer

Las Vegas, NV · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Cardinal Health

Senior Data/AI Engineer

Carson City, NV · Remote

$103.80K - $141K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Bachelor's degree in Computer Science, Machine Learning, Analytics, Engineering, or a related field ...

Norstella

RWD Engagement Manager

Carson City, NV · Remote

$160K - $185K/yr

Remote, United States Date Posted: May 27, 2026 Employment Type: Full Time Job ID: R-1751 ... world data, machine learning and predictive analytics. At Norstella, we don't just deliver ...

CenterWell

Data Engineer - Healthcare

Carson City, NV · Remote

$112.10K - $134.70K/yr

You will develop capabilities using artificial intelligence, machine learning, and big data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Cayuse Holdings

Data Analyst

Carson City, NV · On-site +1

$100K - $110K/yr

... and machine learning. * Work with teams of software developers to build tools for data ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

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Remote Bioinformatics Machine Learning information

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.

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 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 popular job titles related to Remote Bioinformatics Machine Learning jobs in Nevada? For Remote Bioinformatics Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Nevada look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Nevada with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Las Vegas, NV • On-site, Remote

$118.40K - $155.20K/yr

Other

Posted 24 days ago

Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

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