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How much do remote neuroscience ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote neuroscience ai in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What does a remote neuroscience AI professional do?

A Remote Neuroscience AI professional applies artificial intelligence and machine learning techniques to neuroscience research and applications, often while working from a remote location. Their work may include analyzing brain imaging data, developing neural network models to understand brain function, or creating AI-driven tools for neurological diagnosis and treatment. They typically collaborate with scientists, clinicians, and engineers to advance understanding of the brain or to develop innovative healthcare solutions. This role requires expertise in both neuroscience and AI methodologies, as well as strong programming and analytical skills.

What are the key skills and qualifications needed to thrive as a remote neuroscience AI specialist?

To thrive as a Remote Neuroscience AI Specialist, you typically need a strong background in neuroscience, proficiency in machine learning or deep learning, and an advanced degree in a related field. Familiarity with programming languages like Python, neuroimaging tools (such as fMRI or EEG analysis software), and AI frameworks (like TensorFlow or PyTorch) is essential, along with relevant certifications in data science or AI. Exceptional problem-solving skills, attention to detail, and the ability to collaborate effectively in remote teams are vital soft skills. These competencies enable the effective development and application of AI models to complex neuroscience data, driving innovation and insights in both research and clinical contexts.

What are some typical challenges faced by professionals working in a remote neuroscience AI role?

Professionals in remote neuroscience AI roles often encounter challenges related to interdisciplinary collaboration, as integrating neuroscience expertise with AI development requires close coordination across teams that may be geographically dispersed. Communication can also be a hurdle, especially when discussing complex scientific concepts or troubleshooting machine learning models. Additionally, ensuring data security and compliance with privacy regulations is critical, given the sensitive nature of neurological data. However, remote work offers flexibility and access to a broader talent pool, which can enhance project outcomes when managed effectively.

What is the difference between Remote Neuroscience Ai vs Remote Data Scientist?

AspectRemote Neuroscience AiRemote Data Scientist
Required CredentialsBackground in neuroscience, AI, machine learningDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, healthcare, tech companiesTech firms, finance, healthcare, consulting
Industry UsageNeuroscience research, AI development in healthcareData analysis, predictive modeling across industries
Common Search IntentNeuroscience-focused AI roles, research projectsData analysis, machine learning projects

Remote Neuroscience Ai roles focus on applying AI to neuroscience research and healthcare, requiring expertise in neuroscience and AI. Remote Data Scientists work across various industries analyzing data and building models, often with a broader skill set. Both roles involve remote work but serve different industry needs and skill requirements.

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Remote Neuroscience Ai jobs near you
Infographic showing various Remote Neuroscience Ai job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.

Sr. Software Engineer (Contract-to-Hire) (Remote)

Fulcrum Neuroscience, Inc.

South San Francisco, CA • Remote

$125K - $165K/yr

Full-time, Contractor

Posted 15 days ago

Job description

About Fulcrum

Fulcrum Neuroscience is a biotech startup developing new therapeutic approaches to Alzheimer's disease and other neurodegenerative conditions. At the heart of Fulcrum's approach is a unique computational platform: the Brain Health and Neurodegeneration world model, reconciling over 1,800 literature and data sources, and an underlying AI-enabled, digital twin computational engine. This platform enables Fulcrum scientists to explore target and therapeutic alternatives, identify biomarker patterns, and design lab and clinical experiments.

Fulcrum is establishing collaborations with leading research institutions and pharmaceutical organizations, and is a member of the Global Neurodegeneration Proteomics Consortium (GNPC), enabling access to the GNPC data sets. The Fulcrum software platform supports expansion through plug-ins and APIs, enabling integration with a wide range of AI and analysis tools and data sources.

The Role

Reporting to the Chief Technology Officer, you support the development of AI-driven tools to enable the development and enhancement of biological models, digital populations, digital twins, and model-enabled research. This is a hands-on role, working closely with proven innovators in the development of new modeling methodologies and technology.

Your work will include:

  • Development of AI-driven tools and skills including chat-based interactions, agentic workflows, MCP-based integrations to enable model development and analysis and model-based drug discovery and development.
  • Building AI-enabled visualizations, dashboards, and automated parametric search tools that support complex workflows including iterative goal-seeking tasks that can operate autonomously or with human-in-the-loop
  • Building tools to support the integration and analysis of external literature and data into the modeling platform.
  • Working from concepts and prototypes to build scalable, extensible software solutions.
  • Capturing requirements from technical discussions and producing clear documentation commented code, architecture and workflow descriptions, and API documentation.

This is an opportunity to work at the ground level of an early-stage startup, contributing to leading-edge research on neurodegenerative disease while working at the leading edge of AI-infused scientific tooling.

The ideal candidate would be based in the San Francisco Bay Area and able to work at the company's office in South San Francisco, CA one day per week. Remote candidates with a willingness to periodically travel to South San Francisco will be considered.

Qualifications

Required

  • BS in Computer Science or Engineering, or a related discipline
  • 5+ years developing software in a professional environment
  • Experience vibe coding with one or more frontier models
  • Proficient in Python, JSON, and interfacing with API-driven platforms. Experience with Mathematica is a plus.
  • Demonstrated skill in well-designed, well-documented code, with documentation (architecture, workflow, APIs) that supports other team members
  • Comfortable in a fast-moving startup environment, juggling multiple priorities and flexing to help the team meet evolving deadlines

Highly Desired

  • Experience developing scientific, modeling, and/or analytical software
  • Experience developing AI skills for agentic workflows
  • Experience developing software that integrates with LLMs including LLM APIs, RAG, and MCP
  • Experience using open-weight (local) LLM models
  • Familiarity with Bayesian statistics and simulation of systems of non-linear differential equations
What We Offer
  • The chance to build modeling tools to enable model-based research of Alzheimer's and related disease at an early-stage company.
  • Meaningful early-stage equity and contract rate commensurate with experience.

This is a full-time, contract-to-hire role: we intend it as a path to full-time employment.

Direct applicants only, please. We are not working with staffing agencies or third-party recruiters for this contract opportunity and are not accepting agency-submitted candidates.