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Remote Cognitive Science Research Jobs in Alabama

micro1 AI

AI Training Specialist - Physics

Birmingham, AL · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

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Remote Cognitive Science Research information

What is remote cognitive science research?

Remote cognitive science research involves studying how people think, learn, and process information, but the work is conducted from a location outside of a traditional laboratory or office—often from home. Researchers use online tools to design experiments, collect data, and analyze results with participants who may be located anywhere in the world. This approach enables flexibility, broader access to study participants, and the ability to conduct large-scale studies efficiently. Remote cognitive science research is increasingly popular due to advancements in digital technology and the growing availability of online research platforms.

What skills and qualifications are needed to thrive as a remote cognitive science researcher?

To thrive as a Remote Cognitive Science Researcher, you typically need a strong background in psychology, neuroscience, or a related field, often supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis software (e.g., SPSS, R, Python), experimental design tools, and academic databases is crucial. Strong written communication, self-motivation, and collaboration skills help researchers effectively share findings and coordinate with remote teams. These skills ensure rigorous research, accurate data interpretation, and productive teamwork, which are vital for advancing knowledge in cognitive science.

What are common challenges faced when conducting cognitive science research remotely, and how can they be addressed?

One common challenge in remote cognitive science research is maintaining effective communication and collaboration among team members, as researchers often work across different time zones and locations. Additionally, recruiting study participants and ensuring data quality can be more complex without in-person oversight. To address these issues, teams typically use collaborative tools like shared digital workspaces, regularly scheduled video meetings, and secure online platforms for data collection and management. Clear communication protocols and thorough documentation also help ensure that all team members stay aligned and that research standards are maintained.

What is the difference between Remote Cognitive Science Research vs Remote Data Analyst?

AspectRemote Cognitive Science ResearchRemote Data Analyst
Required CredentialsDegree in cognitive science, psychology, neuroscience, or related fieldsDegree in statistics, data science, computer science, or related fields
Work EnvironmentResearch labs, universities, or industry research teams, often collaborative and interdisciplinaryBusiness or tech companies, analyzing datasets remotely, often in a fast-paced environment
Industry UsageAcademia, research institutions, tech companies focusing on human cognitionFinance, marketing, tech firms, and healthcare sectors
Common Search & ComparisonYesNo

Remote Cognitive Science Research involves studying human cognition through experiments and analysis, often requiring a background in psychology or neuroscience. Remote Data Analysts focus on interpreting data sets to inform business decisions, typically with skills in statistics and data tools. While both roles involve data analysis, their focus, credentials, and work environments differ significantly.

What are the most commonly searched types of Cognitive Science Research jobs in Alabama?

The most popular types of Cognitive Science Research jobs in Alabama are:

What are popular job titles related to Remote Cognitive Science Research jobs in Alabama?

For Remote Cognitive Science Research jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Remote Cognitive Science Research jobs in Alabama look for?

The top searched job categories for Remote Cognitive Science Research jobs in Alabama are:

What cities in Alabama are hiring for Remote Cognitive Science Research jobs?

Cities in Alabama with the most Remote Cognitive Science Research job openings:

Remote Cognitive Science Research jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Tuscaloosa, AL • Remote

$90 - $120/hr

Part-time

Posted 21 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.

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