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Remote Behavioral Data Science Jobs in Georgia (NOW HIRING)

AWS Data Architect

Atlanta, GA ยท On-site +1

$130K - $165K/yr

Bachelor's degree in information management, data science, statistics, public health, health ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

... same behavioral data asset and audit trail as human users. * Ensure every agent's action is ... Partner with AI/ML, Data Science, Professional Services, and Customer Experience to translate ...

Senior Data Team Lead (Remote)

Atlanta, GA ยท Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Senior Data Team Lead (Remote)

Atlanta, GA ยท Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics ... S. locations in a remote capacity. Reports to: Director, Product As a Product Manager at Trella ...

VP Engineering

Atlanta, GA ยท On-site +1

$173K - $223K/yr

Proven ability to align with other teams in the R&D organization, especially remote teams. Technical Depth * Strong background in data engineering, analytics and data science. * Proven experience in ...

Remote BCBA

Atlanta, GA ยท On-site +1

$85K/yr

At Behavioral Framework , we're on a mission to deliver life-changing care for children with Autism ... Conduct assessments (ABLLS, AFLS, VB-MAPP) and data analysis. * Collaborate with diverse families ...

Showing results 41-60

Remote Behavioral Data Science information

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 expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
What are the most commonly searched types of Behavioral Data Science jobs in Georgia? The most popular types of Behavioral Data Science jobs in Georgia are:
What are popular job titles related to Remote Behavioral Data Science jobs in Georgia? For Remote Behavioral Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Behavioral Data Science jobs in Georgia look for? The top searched job categories for Remote Behavioral Data Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Behavioral Data Science jobs? Cities in Georgia with the most Remote Behavioral Data Science job openings:

AI Training Specialist - Life Sciences

micro1 AI

Columbus, GA โ€ข Remote

$90 - $120/hr

Part-time

Posted 11 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 โ€” 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.