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Remote Lead Generation Jobs in Virginia (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Norfolk, VA · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ...

Janitza

Marketing Manager

Ashburn, VA · Remote

$120K/yr

Remote w/ travel SALARY: $105k-$120k Base Salary w/ 10% Annual Bonus Who We Are Janitza North ... Measure event performance using lead generation, engagement metrics, cost-per-lead, and post-event ...

Leidos

Lead DevSecOps Engineer

Ashburn, VA · Remote

$104K - $138K/yr

... generation flight service and air traffic systems. This work aligns with the FAA's broader ... remote and high-dependency aviation environments. These efforts focus on delivering mission ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0246710 Location: Ashburn,VA,US Share job via: Share AI/ML ... generation (RAG). * Optimize and deploy AI/ML models for edge environments, applying techniques ...

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Remote Lead Generation information

What is a remote lead generation?

A Remote Lead Generation job involves identifying and connecting with potential customers or clients for a business while working remotely. This typically includes researching prospects, reaching out via email or phone, and nurturing leads until they're ready for sales engagement. The role requires strong communication skills, persistence, and the ability to use digital tools like CRM systems. It's essential for companies looking to expand their customer base efficiently.

What does a remote lead generation do?

A typical day for a Remote Lead Generation professional involves researching potential clients, reaching out via email or calls, tracking interactions in CRM systems, and qualifying prospects for further engagement by the sales team. You may work independently but will frequently collaborate with sales, marketing, and account management colleagues to refine targeting strategies and align on goals. Staying organized and prioritizing follow-ups are crucial, as is adapting outreach based on campaign results or feedback. This dynamic environment often offers flexibility, but success depends on your ability to manage your time and stay self-motivated in a remote setting.

What are the key skills and qualifications needed to thrive in remote lead generation?

Succeeding in Remote Lead Generation requires strong research skills, proficiency in data analysis, and a background in sales or marketing. Familiarity with CRM platforms (like Salesforce or HubSpot), lead enrichment tools, and automation software is often necessary. Excellent written communication, persistence, and self-motivation are standout soft skills for this remote position. These abilities ensure effective identification and nurturing of qualified leads while maintaining productivity and collaboration in a virtual environment.

What are the most commonly searched types of Lead Generation jobs in Virginia?

The most popular types of Lead Generation jobs in Virginia are:

What are popular job titles related to Remote Lead Generation jobs in Virginia?

For Remote Lead Generation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Lead Generation jobs in Virginia look for?

The top searched job categories for Remote Lead Generation jobs in Virginia are:

What cities in Virginia are hiring for Remote Lead Generation jobs?

Cities in Virginia with the most Remote Lead Generation job openings:

Remote Lead Generation jobs near you
Infographic showing various Remote Lead Generation job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Richmond, VA • Remote

$80 - $110/hr

Part-time

Posted 15 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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