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Remote Neural Engineer Jobs in Phoenix, AZ (NOW HIRING)

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

All JobsNeural Engineer JobsRemote Neural Engineer JobsRemote Neural Engineer Jobs in Phoenix, AZ

Remote Neural Engineer information

See Phoenix, AZ salary details

$59.1K

$110.8K

$201.6K

How much do remote neural engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote neural engineer in Phoenix, AZ is $110,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $131,600.00 per year, depending on experience, location, and employer.

What is a remote neural engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a remote neural engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

How much money do remote neural engineers make?

Remote neural engineers typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior roles or those with specialized skills in neural signal processing or brain-computer interfaces can earn higher salaries, especially with advanced certifications or extensive research backgrounds.

How do remote neural engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

What are popular job titles related to Remote Neural Engineer jobs in Phoenix, AZ? For Remote Neural Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Neural Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Neural Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Neural Engineer jobs? Cities near Phoenix, AZ with the most Remote Neural Engineer job openings:
Remote Neural Engineer jobs near you

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 24 days ago

Job description

Role: Teradata ML Data Scientist with Clear Scape Analytics

Location: Scottsdale, AZ (REMOTE)

Job Type: Contract

Job Description:

Role Overview:

The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.

The Senior Application Developer will:

Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)

Prepare software for deployment to production environments

Respond to and resolve questions and issues logged by users of a live system

Manage small projects independently and work as a team member on larger projects

Perform other related duties as required and assigned

Demonstrate behaviors which are aligned with the organization’s desired culture and values


Primary Responsibilities:

  • Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
  • Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
  • Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
  • Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
  • Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
  • Package analytical solutions into easy-to-use tools and applications tailored to business user needs
  • Clearly communicate analytical methodology, results, and insights to key stakeholders
  • Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
  • Thoroughly document modeling approach, code, and results to support knowledge transfer


Required Skills/Experience:

  • 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
  • Proficiency in Python, R, or other analytical programming languages
  • Experience building, validating, and deploying machine learning models
  • Knowledge of time series analysis and forecasting techniques
  • Financial industry experience a plus
  • Excellent communication and collaboration skills