ZipRecruiter

Log In

2

Remote Conservation Data Science Jobs in Utah (NOW HIRING)

Walkerdunlop

Director, Valuations

Salt Lake City, UT · Remote

We combine industry-leading multifamily underwriting experience, data science, and analytics ... Applications will be accepted until August 21, 2026 #LI-CR1 #LI-Remote What We Offer * The ...

Varsity Tutors

College Biology Tutor

Logan, UT · Remote

$18 - $40/hr

Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ... biotechnology, conservation biology, and public health applications. * Curriculum Awareness ...

Varsity Tutors

College Biology Tutor

Cedar City, UT · Remote

$18 - $40/hr

Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ... biotechnology, conservation biology, and public health applications. * Curriculum Awareness ...

Varsity Tutors

College Biology Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ... biotechnology, conservation biology, and public health applications. * Curriculum Awareness ...

Varsity Tutors

College Biology Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ... biotechnology, conservation biology, and public health applications. * Curriculum Awareness ...

previous page

Showing results 41-60

All JobsConservation Data Science JobsRemote Conservation Data Science JobsRemote Conservation Data Science Jobs in Utah

Remote Conservation Data Science information

What is a remote conservation data scientist?

A Remote Conservation Data Scientist is a professional who analyzes environmental data to support conservation efforts, often working from a location outside of a traditional office or onsite fieldwork setting. They use data science techniques such as statistical analysis, machine learning, and geographic information systems (GIS) to interpret data related to biodiversity, ecosystems, wildlife populations, and climate change. Their work helps inform conservation policies, resource management, and strategies to protect natural habitats. Remote work in this field relies heavily on digital collaboration tools and access to large datasets. These scientists often partner with non-profits, government agencies, or research organizations to tackle global conservation challenges.

What are the key skills and qualifications needed to thrive as a remote conservation data scientist?

To thrive as a Remote Conservation Data Scientist, you need expertise in data analysis, ecological modeling, and a strong background in environmental science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python or R, GIS tools (such as ArcGIS or QGIS), and relevant data management systems is essential. Excellent problem-solving, communication, and collaboration skills are crucial for translating data insights into actionable conservation strategies with remote teams. These abilities enable effective data-driven decision-making and foster impactful conservation outcomes across diverse and distributed environments.

How does a remote conservation data scientist typically collaborate with field teams and stakeholders?

Remote conservation data scientists often rely on digital communication tools—such as video calls, shared databases, and project management platforms—to work closely with field researchers, conservation managers, and external partners. While they may not be physically present at field sites, they regularly interpret, analyze, and visualize data collected on the ground, providing actionable insights for ongoing projects. Regular virtual meetings are common for aligning on project goals, discussing data quality, and adapting analytical approaches based on field realities. This collaborative structure ensures that data-driven recommendations are both relevant and grounded in real-world conservation challenges.

What are popular job titles related to Remote Conservation Data Science jobs in Utah?

For Remote Conservation Data Science jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Conservation Data Science jobs in Utah look for?

The top searched job categories for Remote Conservation Data Science jobs in Utah are:

What cities in Utah are hiring for Remote Conservation Data Science jobs?

Cities in Utah with the most Remote Conservation Data Science job openings:

Remote Conservation Data Science jobs near you
Infographic showing various Remote Conservation Data Science job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 21 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.

Apply