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Remote Data Science Neuroscience Jobs in Windham, NH

Varsity Tutors

Neuroscience Tutor

Lowell, MA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

Varsity Tutors

Neuroscience Tutor

Waltham, MA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

Varsity Tutors

Neuroscience Tutor

Lawrence, MA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

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All JobsData Science Neuroscience JobsRemote Data Science Neuroscience JobsRemote Data Science Neuroscience Jobs in Windham, NH

Remote Data Science Neuroscience information

See Windham, NH salary details

$43.3K

$148.7K

$209.8K

How much do remote data science neuroscience jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data science neuroscience in Windham, NH is $148,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.

What are the key skills and qualifications needed to thrive as a remote data science neuroscience professional?

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.
Remote Data Science Neuroscience jobs near you
Infographic showing various Remote Data Science Neuroscience job openings in Windham, NH as of September 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $148,727 per year, or $71.5 per hour.

Senior Data Science and Machine Learning Engineer

Bedford, MA • Remote

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 14 days ago

Job description

Role

Senior Data Science and Machine Learning Engineer

Duration

6 months Contract to Hire

Location

Remote

Job Summary

    • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
    • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities

    • Develop, deploy, and maintain machine learning models in production environments.
    • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
    • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
    • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
    • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
    • Contribute to code reviews, technical design discussions, and best practices for the team.
    • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
    • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience

•            5+ years of experience in data engineering, machine learning engineering, or related roles.

•            Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).

•            Solid understanding of ML model development, training, and deployment pipelines.

•            Experience with ML model monitoring and observability frameworks.

•            Experience with deep learning frameworks(TensorFlow, PyTorch).

•            Familiarity with CI/CD, version control (Git),and modern ML Ops practices.

Nice-to-Have

•            Contributions to open-source Data Science / Machine Learning libraries or frameworks.

•            Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization

Thanks and Regards

Monu Singh Chauhan | 1Point System LLC
Technical Recruiter  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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