2

Remote Sports Science Research Jobs in Utah (NOW HIRING)

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Showing results 21-40

Remote Sports Science Research information

What is the difference between Remote Sports Science Research vs Remote Athletic Trainer?

AspectRemote Sports Science ResearchRemote Athletic Trainer
CredentialsDegree in sports science, research experienceCertification as an athletic trainer, degree in sports medicine
Work EnvironmentResearch settings, data analysis, writing reportsRemote consultations, injury prevention, athlete support
Industry UsageAcademic, research institutions, sports organizationsSports teams, clinics, fitness facilities

Remote Sports Science Research focuses on analyzing data and conducting studies to advance sports science knowledge, often working in research settings. In contrast, Remote Athletic Trainers provide injury prevention and athlete support remotely, typically with certifications in athletic training. Both roles are vital in the sports industry but differ in daily tasks and credentials.

What are the most commonly searched types of Sports Science Research jobs in Utah?

The most popular types of Sports Science Research jobs in Utah are:

What job categories do people searching Remote Sports Science Research jobs in Utah look for?

The top searched job categories for Remote Sports Science Research jobs in Utah are:

What cities in Utah are hiring for Remote Sports Science Research jobs?

Cities in Utah with the most Remote Sports Science Research job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

West Valley City, UT • Remote

$80 - $110/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.