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Remote Marine Biology Research Jobs in Rochester, MN

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Remote Marine Biology Research information

See Rochester, MN salary details

$9

$27

$53

How much do remote marine biology research jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote marine biology research in Rochester, MN is $27.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $40.34 per hour, depending on experience, location, and employer.

What is remote marine biology research?

Remote marine biology research involves studying marine organisms, ecosystems, and environments from a distance, often using technology such as underwater drones, satellite imagery, and remote sensing equipment. This approach allows scientists to collect data and monitor marine life without being physically present in the field, which can be especially useful for hard-to-reach or dangerous locations. Remote research can include activities like tracking animal migrations, assessing coral reef health, and monitoring water quality. This method helps expand the scope of marine biology studies while reducing costs and minimizing human impact on sensitive habitats.

What are the key skills and qualifications needed to thrive in remote marine biology research?

To thrive in Remote Marine Biology Research, you need a strong background in marine biology, data analysis, and scientific research methods, typically supported by a relevant degree. Proficiency with remote sensing tools, GIS software, and statistical analysis programs like R or Python is commonly required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for independent fieldwork and effective collaboration with distant teams. These skills ensure accurate data collection, insightful analysis, and meaningful contributions to marine science from remote locations.

What are some common challenges faced by professionals working in remote marine biology research, and how can they be addressed?

Professionals in remote marine biology research often encounter challenges such as limited access to field sites, reliance on remote sensing technologies, and coordinating with international teams across different time zones. Addressing these challenges typically involves developing strong digital communication skills, being proficient with data collection and analysis software, and maintaining flexibility in work schedules. Additionally, success in this role often relies on effective collaboration with multidisciplinary teams and the ability to adapt quickly to changing research priorities or project needs.

What job categories do people searching Remote Marine Biology Research jobs in Rochester, MN look for?

The top searched job categories for Remote Marine Biology Research jobs in Rochester, MN are:

Remote Marine Biology Research jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Rochester, MN • Remote

$80 - $110/hr

Part-time

Posted 27 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.

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