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Remote Behavioral Data Scientist Jobs in Indiana

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 ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

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 ...

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Remote Behavioral Data Scientist information

What is a remote behavioral data scientist?

A Remote Behavioral Data Scientist is a professional who analyzes large sets of behavioral data to uncover patterns, trends, and insights about how people act and make decisions. This role is performed remotely, allowing the scientist to work from any location using digital tools to collaborate with teams. They often use statistical modeling, machine learning, and data visualization to interpret user behavior, drive business strategies, and improve products or services. Their work helps organizations better understand customer needs and optimize user experiences based on data-driven evidence.

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

To thrive as a Remote Behavioral Data Scientist, you need a solid background in statistics, machine learning, data analysis, and behavioral science, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and translating behavioral insights to stakeholders. These skills and qualities are essential for effectively analyzing complex data, delivering actionable insights, and succeeding in a remote, interdisciplinary environment.

How does a remote behavioral data scientist typically collaborate with cross-functional teams despite working remotely?

Remote Behavioral Data Scientists frequently collaborate with product managers, engineers, UX researchers, and other analysts through virtual meetings and shared digital workspaces. Regular communication using project management tools, video conferencing, and collaborative coding platforms ensures alignment on project goals and data insights. Proactive scheduling and clear documentation are vital for overcoming time zone differences and maintaining project momentum. This remote structure encourages autonomy but requires strong self-management and communication skills to be effective.

What is the difference between Remote Behavioral Data Scientist vs Remote Data Analyst?

AspectRemote Behavioral Data ScientistRemote Data Analyst
Required CredentialsMaster's or PhD in Data Science, Psychology, or related fields; experience with statistical modeling and behavioral analysisBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with behavioral scientists, product teams, and research departments in tech or healthcare industriesSupports business decision-making across various industries, often in corporate or consulting settings
Employer & Industry UsageUsed in tech, healthcare, and research organizations focusing on user behavior and psychological insightsCommon in finance, marketing, and business intelligence sectors for data reporting and insights

The Remote Behavioral Data Scientist specializes in analyzing behavioral data to understand human actions, often requiring advanced statistical and psychological expertise. In contrast, the Remote Data Analyst focuses on interpreting data to support business decisions, typically with less emphasis on behavioral theories. Both roles involve data handling but serve different strategic purposes within organizations.

What are the most commonly searched types of Behavioral Data Scientist jobs in Indiana? The most popular types of Behavioral Data Scientist jobs in Indiana are:
What are popular job titles related to Remote Behavioral Data Scientist jobs in Indiana? For Remote Behavioral Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Behavioral Data Scientist jobs in Indiana look for? The top searched job categories for Remote Behavioral Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Behavioral Data Scientist jobs? Cities in Indiana with the most Remote Behavioral Data Scientist job openings:
Remote Behavioral Data Scientist jobs near you
Infographic showing various Remote Behavioral Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Indianapolis, IN • Remote

$90 - $120/hr

Part-time

Posted 12 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