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Remote Exercise Science Research Jobs in Texas (NOW HIRING)

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... Responsibilities: * Develop, implement, and validate remote-sensing-enabled models for ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial technologies. The successful ...

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Remote Exercise Science Research information

What is remote exercise science research?

Remote exercise science research involves studying human movement, fitness, and physical activity using digital tools and technologies without requiring in-person interaction. Researchers may collect data through wearable fitness trackers, online surveys, video conferencing, or remote monitoring devices. This approach allows for broader participant recruitment, flexible study designs, and safer data collection, especially when in-person research is not feasible. Remote research in exercise science can be used in fields like rehabilitation, sports performance, and public health.

What are the key skills and qualifications needed to thrive as a remote exercise science researcher?

To thrive as a Remote Exercise Science Researcher, you need a solid background in exercise physiology, research methods, and data analysis, usually supported by a relevant degree such as exercise science or kinesiology. Familiarity with statistical analysis software (like SPSS or R), online survey tools, and literature databases is typically required. Strong written communication, time management, and self-motivation are important soft skills for remote collaboration and independent work. These skills and qualities are essential for conducting rigorous research, producing credible scientific findings, and effectively contributing to remote teams.

How does a remote exercise science research role typically collaborate with other team members and departments?

In a remote exercise science research role, collaboration is often facilitated through digital communication platforms such as video conferencing, shared documents, and project management tools. Team members regularly coordinate with colleagues from other disciplines—like data analysts, clinicians, and project managers—to design studies, analyze results, and publish findings. Effective communication and self-motivation are key, as you may be working across different time zones and with limited in-person interaction. Regular virtual meetings and collaborative platforms help maintain workflow and ensure research projects stay on track.

What cities in Texas are hiring for Remote Exercise Science Research jobs?

Cities in Texas with the most Remote Exercise Science Research job openings:

Biology Research Scientist - Remote

Dallas, TX • Remote

$50 - $70/hr

Full-time

Posted 20 days ago


Job description

Biology Research Scientist

Job Type: Contractor
Location: Remote
Hours: 10–20 hours/week
Duration: 1–2 months minimum, with likely extension
Start: Immediate

Job Overview

We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records.

You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning.

Key Responsibilities
  • Review primary research papers and patents to verify protein target assignments.
  • Compare target assignments against UniProt and identify discrepancies.
  • Classify target assignment errors using a structured taxonomy.
  • Propose accurate UniProt accessions where assignments are incorrect.
  • Document clear, concise, evidence-grounded reasoning for each determination.
  • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.
Required Skills
  • Protein Target Identification
  • UniProt
  • Primary Literature Review
  • Protein Biochemistry
  • Molecular Biology
  • Pharmacology
  • Binding & Functional Assays
  • Scientific Data Interpretation
  • Evidence-Based Reasoning
  • Technical Documentation
Qualifications
  • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience.
  • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments.
  • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays.
  • Experience interpreting IC50, Ki, and Kd data.
  • Currently active in a bench-based research, scientist, or associate scientist role.
  • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.
Nice to Have
  • Experience with ChEMBL, BindingDB, or PubChem.
  • Selectivity profiling or counterscreening experience.
  • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.
Screening Questions
  1. What is your highest relevant degree and how many years of industry research experience do you have?
  2. What is your experience with protein target identification and UniProt?
  3. Which binding or functional assays have you performed hands-on?
  4. Do you have experience interpreting IC50, Ki, or Kd data?
  5. Have you worked with ChEMBL, BindingDB, or PubChem?
  6. Are you currently bench-active in a research or scientist role?
  7. Are you available for 10–20 hours per week with an immediate start?