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Remote Biology Jobs in Springfield, VA (NOW HIRING)

Think Tank, Inc.

Gear Liasion

Silver Spring, MD · Remote

*US Citizenship Required *Full-time Remote Position with field work required *Position is Subject to ... Bachelor's degree or master's degree in environmental science, biology, ecology, fisheries biology ...

Novastar Prep

IB Subjects Tutor (Remote)

Mclean, VA · On-site +1

$25 - $35/hr

IB Biology, Chemistry, and Physics * IB History, Economics, and other IB Individuals & Societies ... Fully Remote At Novastar Prep, we are committed to diversity, equity, and inclusion. We provide a ...

Brillient

Science Disclosure Analyst

Silver Spring, MD · On-site +1

This position is 100% remote. Essential Job Functions: * Applying appropriate FOIA exemptions to ... Bachelors' Degree in Biological and Health Sciences (Biology, Chemistry, Biochemistry, Microbiology ...

Hirekeyz Inc

Scientist II

College Park, MD · Remote

Scientist II Location: (Remote but need to report to the duty station in college park, MD or other ... biological sciences that provide the background needed to serve in a technical capacity to the ...

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Remote Biology information

What is a remote biology?

A Remote Biology job involves conducting biological research, data analysis, or consulting from a remote location instead of a traditional lab or office. These roles may include analyzing ecological data, writing reports, managing digital databases, or teaching biology online. Remote biologists often work for universities, environmental agencies, biotech companies, or government organizations. Strong communication skills, proficiency in data analysis software, and self-motivation are essential for success in this field.

What are the typical daily responsibilities for a remote biology professional?

As a Remote Biology professional, your daily tasks may include analyzing experimental data, conducting literature reviews, writing research reports, and participating in virtual team meetings. Depending on your employer, you may also design experiments, manage digital laboratory records, or collaborate with remote colleagues on ongoing research projects. Effective communication through email, video conferencing, and project management tools is essential to stay aligned with team objectives. This routine allows for productive scientific research and fosters successful collaboration, even from a distance.

What are the key skills and qualifications needed to thrive in the remote biology position, and why are they important?

To succeed in a Remote Biology position, you typically need a degree in biology or a related field, strong data analysis skills, and experience with scientific research methods. Familiarity with software such as R, Python, or specialized bioinformatics tools, as well as experience with virtual collaboration platforms, is often required. Excellent written communication, self-motivation, and time management set standout candidates apart when working remotely. These attributes are crucial for conducting research effectively, collaborating across distances, and delivering results without direct supervision.

What are the most commonly searched types of Biology jobs in Springfield, VA?

The most popular types of Biology jobs in Springfield, VA are:

What job categories do people searching Remote Biology jobs in Springfield, VA look for?

The top searched job categories for Remote Biology jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Remote Biology jobs?

Cities near Springfield, VA with the most Remote Biology job openings:

Remote Biology jobs near you
Infographic showing various Remote Biology job openings in Springfield, VA as of August 2026, with employment types broken down into 3% Internship, 74% Full Time, 10% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Alexandria, VA • Remote

$80 - $110/hr

Part-time

Posted 20 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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