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Weekday Experimental Research Jobs (NOW HIRING)

Weekday AI

Data Science Experts

$70 - $100/hr

... weekdays. Requirements Key Responsibilities Provide Data Science Expertise * Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and ...

Weekday AI

Biosecurity Research Specialist (PhD)

$105/hr

... a research initiative focused on building a strong scientific knowledge layer for advanced ... Provide expert insight into biological feasibility, pathogen behavior, and experimental design

The Pennsylvania State University

$16/hr

We are recruiting research assistants for the Lowry Weed Ecology Lab to assist with experiments in ... Applicant must be able to work weekdays the entire summer * A driver's license is required (but ...

UFP Industries

R&D Technician

Selma, AL · On-site

Conduct experiments to improve upon or duplicate various materials and processes. * Recommends ... Work schedule is weekday daytime, some flexibility on working hours is expected. The Company is an ...

UFP Industries

R&D Technician

Prattville, AL · On-site

Conduct experiments to improve upon or duplicate various materials and processes. * Recommends ... Work schedule is weekday daytime, some flexibility on working hours is expected. The Company is an ...

UFP Industries

R&D Technician

Selma, AL

Conduct experiments to improve upon or duplicate various materials and processes. * Recommends ... Work schedule is weekday daytime, some flexibility on working hours is expected. The Company is an ...

The Pennsylvania State University

$15/hr

Conduct observations and experiments looking at predator prey interactions * Assist with laboratory ... Most work will be restricted to weekdays and normal working hours but there may be occasional data ...

The Pennsylvania State University

$15/hr

Conduct observations and experiments looking at predator prey interactions * Assist with laboratory ... Most work will be restricted to weekdays and normal working hours but there may be occasional data ...

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Weekday Experimental Research information

What are the key skills and qualifications needed to thrive as an Experimental Researcher, and why are they important?

To thrive as an Experimental Researcher, you need a strong background in scientific methodology, data analysis, and subject-matter expertise, typically supported by at least a bachelor's or master's degree in a relevant field. Proficiency with statistical software (like SPSS or R), laboratory equipment, and research management systems is often required. Critical thinking, meticulous attention to detail, and effective communication are essential soft skills for designing experiments and presenting findings. These skills ensure accurate, reliable research outcomes and facilitate collaboration and innovation in experimental settings.

What is the difference between Weekday Experimental Research vs Laboratory Technician?

AspectWeekday Experimental ResearchLaboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate's degree or certification in laboratory technology
Work EnvironmentResearch labs, universities, or research institutionsClinical or industrial laboratories, hospitals
Employer & Industry UsageResearch-focused organizations, academiaHealthcare, biotech, manufacturing
Common Search & ComparisonResearch methods, experimental proceduresLab procedures, technical skills

Weekday Experimental Research involves designing and conducting experiments primarily in research settings, focusing on scientific discovery. Laboratory Technicians support these efforts by preparing samples, maintaining equipment, and performing routine tests. While both roles require scientific knowledge, Weekday Experimental Researchers typically engage in higher-level experimental design, whereas Laboratory Technicians focus on technical support tasks.

What are some typical challenges faced by professionals working in Weekday Experimental Research roles?

Professionals in Weekday Experimental Research often encounter challenges such as balancing tight deadlines with the need for meticulous data collection and analysis. Coordinating with cross-functional teams—like data analysts, lab technicians, and project managers—can require strong communication and adaptability, especially when experiments need to be adjusted based on preliminary results. Additionally, ensuring compliance with regulatory standards and lab safety protocols is critical. It's important to stay organized and proactive to manage multiple experiments running concurrently during the workweek.

What is a Weekday Experimental Researcher?

A Weekday Experimental Researcher is a professional who designs, conducts, and analyzes experiments typically during regular business days (Monday through Friday). Their work often involves planning experiments, collecting and interpreting data, and reporting findings to advance knowledge in a specific scientific or technical field. These researchers may work in academic, industrial, or government settings, and their schedules align with standard weekday work hours. The 'experimental' aspect refers to their focus on hands-on, practical investigations to test hypotheses or develop new products, processes, or technologies.
More about Weekday Experimental Research jobs
What cities are hiring for Weekday Experimental Research jobs? Cities with the most Weekday Experimental Research job openings:
What are the most commonly searched types of Experimental Research jobs? The most popular types of Experimental Research jobs are:
What states have the most Weekday Experimental Research jobs? States with the most job openings for Weekday Experimental Research jobs include:
What job categories do people searching Weekday Experimental Research jobs look for? The top searched job categories for Weekday Experimental Research jobs are:
Weekday Experimental Research jobs near you
Infographic showing various Weekday Experimental Research job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution.

Data Science Experts

Weekday AI

Remote

$70 - $100/hr

Part-time

Posted 10 days ago

Job description

This role is for one of our clients
Compensation: $70-$100 per hour
Join a leading AI lab at the forefront of generative AI innovation and help shape the next generation of Large Language Models. We are seeking experienced Data Science professionals with strong expertise in statistical analysis, machine learning, predictive modeling, and quantitative reasoning to contribute to the development of advanced AI systems.
In this role, you will apply your analytical expertise to create, evaluate, and refine high-quality training data that improves how AI models reason about data, statistics, and real-world analytical challenges. You will collaborate with researchers and engineers to ensure AI systems demonstrate rigorous quantitative thinking and sound data science practices.
This is a full-time engagement requiring 40 hours per week during standard weekdays.
Requirements
Key Responsibilities
Provide Data Science Expertise
  • Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and analytical best practices.
  • Help improve AI model performance across data science, analytics, and machine learning domains.
Design Analytical Challenges
  • Create complex, real-world data science tasks that test quantitative reasoning, statistical thinking, and machine learning knowledge.
  • Develop accurate, well-structured solutions that reflect industry best practices.
Evaluate AI-Generated Outputs
  • Review and assess analytical solutions generated by AI systems and subject matter experts.
  • Identify errors, inconsistencies, flawed assumptions, and opportunities for improvement.
  • Provide clear, actionable feedback to enhance model quality and reasoning capabilities.
Develop Evaluation Frameworks
  • Build scoring rubrics and evaluation methodologies for:
    • Statistical reasoning
    • Predictive modeling
    • Machine learning workflows
    • Data interpretation
    • Experimental design
    • Business analytics and decision-making
  • Ensure consistent quality standards across datasets and evaluation processes.
Collaborate Across Teams
  • Work closely with AI researchers, engineers, and domain experts to maintain accuracy, consistency, and rigor in training data development.

Required Qualifications
  • 3+ years of professional or research experience in:
    • Data Science
    • Statistical Analysis
    • Machine Learning
    • Predictive Analytics
    • Applied Mathematics
    • Quantitative Research
    • Business Analytics
  • Strong understanding of:
    • Statistical inference
    • Hypothesis testing
    • Regression analysis
    • Machine learning algorithms
    • Data visualization
    • Experimental design
  • Experience working with structured and unstructured datasets.
  • Ability to commit to 40 hours per week during standard business days.
  • Excellent written communication skills with the ability to clearly explain analytical decisions and modeling approaches.

Preferred Qualifications
  • Experience with AI systems, Large Language Models (LLMs), or agent-based workflows.
  • Familiarity with model evaluation, reinforcement learning from human feedback (RLHF), data annotation, or human-in-the-loop systems.
  • Proficiency in Python, SQL, R, or other analytical programming languages.
  • Experience building and deploying machine learning solutions in production environments.
  • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Operations Research, or a related quantitative field.

Why Join
  • Contribute directly to the development of state-of-the-art AI systems.
  • Work alongside leading researchers and engineers in artificial intelligence.
  • Help define how future AI models reason about data, statistics, and analytical decision-making.
  • Apply your expertise to challenging, high-impact projects at the cutting edge of AI innovation.

Engagement Details
  • Full-time commitment (40 hours per week).
  • Weekday availability required.
  • Opportunity to work on long-term AI research and evaluation initiatives.
  • Project scope and responsibilities may evolve based on research priorities and business needs.

Apply