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Remote Neuroscience Data Scientist Jobs in Indiana

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Boston, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

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Remote Neuroscience Data Scientist information

How does a remote neuroscience data scientist typically collaborate with cross-functional teams, and what tools are commonly used for effective communication and project management?

As a Remote Neuroscience Data Scientist, you will often collaborate with neuroscientists, software engineers, and clinical researchers to analyze complex brain data and develop actionable insights. Communication and teamwork are facilitated through virtual meetings, shared code repositories (such as GitHub or GitLab), and project management platforms like Jira or Asana. Regular stand-ups and collaborative brainstorming sessions are common, ensuring everyone stays aligned despite working remotely. Familiarity with cloud-based data analysis tools and version control systems is essential for seamless integration with team workflows.

Can I become a remote neuroscience data scientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a remote neuroscience data scientist role, which typically requires skills in data analysis, programming (such as Python or R), and knowledge of neuroscience concepts. Additional experience with machine learning, statistical tools, and remote collaboration platforms can enhance employability in this field.

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

To thrive as a Remote Neuroscience Data Scientist, you need strong expertise in neuroscience, statistics, and data analysis, typically supported by an advanced degree in neuroscience, computer science, or a related field. Proficiency in programming languages (such as Python or R), machine learning frameworks, and neuroimaging analysis tools (like fMRI or EEG software) is essential. Excellent problem-solving, communication, and collaboration skills are vital for interpreting complex data and working effectively with multi-disciplinary teams in a remote setting. These skills enable accurate analysis, meaningful scientific contributions, and seamless teamwork despite physical distance.

What does a remote neuroscience data scientist do?

A Remote Neuroscience Data Scientist applies data analysis, machine learning, and statistical modeling techniques to neuroscience data, such as brain imaging or neural recordings, all while working from a remote location. They collaborate with neuroscientists and other researchers to extract insights from complex datasets, develop models to understand brain function, and contribute to scientific publications or product development. Their work often involves programming, data cleaning, visualization, and interpreting results to inform research or healthcare solutions.

Can I work remotely as a neuroscience data scientist?

Yes, many neuroscience data scientist roles are available as remote positions, especially those focused on data analysis, machine learning, and programming. Employers often require strong skills in Python, R, or MATLAB, and remote work may involve collaboration through online tools and virtual meetings.
What are the most commonly searched types of Neuroscience Data Scientist jobs in Indiana? The most popular types of Neuroscience Data Scientist jobs in Indiana are:
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What job categories do people searching Remote Neuroscience Data Scientist jobs in Indiana look for? The top searched job categories for Remote Neuroscience Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Neuroscience Data Scientist jobs? Cities in Indiana with the most Remote Neuroscience Data Scientist job openings:
Remote Neuroscience Data Scientist jobs near you
Infographic showing various Remote Neuroscience Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Fishers, IN • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply