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Extraction Lab Manager Jobs in Ashburn, VA (NOW HIRING)

Amentum

Systems Analyst

Washington, DC · On-site

Based on information gathered from the COR, Government Case Managers, and trial staff, defines ... Participate in building an in-house Analytics and AI lab to provide solutions to legal teams with ...

Pae

Systems Analyst

Washington, DC

Based on information gathered from the COR, Government Case Managers, and trial staff, defines ... Participate in building an in-house Analytics and AI lab to provide solutions to legal teams with ...

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All JobsExtraction Lab JobsExtraction Lab Manager JobsExtraction Lab Manager Jobs in Ashburn, VA

Extraction Lab Manager information

See Ashburn, VA salary details

$33.2K

$94K

$152.4K

How much do extraction lab manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for extraction lab manager in Ashburn, VA is $94,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $113,500.00 per year, depending on experience, location, and employer.

What is the difference between Extraction Lab Manager vs Extraction Technician?

AspectExtraction Lab ManagerExtraction Technician
CredentialsRelevant certifications, management experienceTechnical certifications, training in extraction processes
Work EnvironmentSupervisory role in lab setting, overseeing operationsHands-on extraction work, operating equipment
Industry UsageUsed in labs, production facilities, overseeing extraction teamsPerforms extraction tasks under supervision

The Extraction Lab Manager typically oversees extraction operations, manages staff, and ensures quality control, requiring management skills and relevant certifications. In contrast, the Extraction Technician focuses on executing extraction procedures, operating equipment, and maintaining safety protocols. Both roles are essential in extraction labs but differ mainly in responsibility level and scope of work.

What are the key skills and qualifications needed to thrive as an extraction lab manager, and why are they important?

To thrive as an Extraction Lab Manager, you need a solid background in chemistry or biochemistry, experience with extraction processes, and often a relevant degree or certification. Proficiency with laboratory equipment, extraction technologies (such as CO2 or ethanol extraction), and familiarity with regulatory compliance systems like GMP are typically required. Strong leadership, attention to detail, and effective communication skills help ensure team coordination and adherence to safety protocols. These skills and qualifications are critical for maintaining product quality, regulatory compliance, and efficient lab operations.

What is an extraction lab manager?

Extraction Lab Managers are professionals responsible for overseeing the extraction of compounds from raw materials, commonly in industries like pharmaceuticals, food and beverage, and cannabis. They manage the daily operations of extraction labs, ensure compliance with safety and regulatory standards, supervise staff, and optimize extraction processes for efficiency and quality. Their role also includes maintaining equipment, managing inventory, and ensuring all products meet quality control standards. Extraction Lab Managers often have backgrounds in chemistry, biology, or related fields and play a key role in product development and process improvement.

What are some common challenges faced by an extraction lab manager in maintaining compliance with safety and regulatory standards?

Extraction Lab Managers often encounter challenges in ensuring their operations strictly adhere to evolving safety and regulatory requirements, especially in industries like cannabis or pharmaceuticals. They must stay updated on local, state, and federal regulations, conduct regular staff training on safety protocols, and maintain meticulous documentation for audits. Balancing efficient production with rigorous compliance can be demanding, but proactive communication, continuous process improvement, and a strong safety culture help mitigate these challenges.

What are popular job titles related to Extraction Lab Manager jobs in Ashburn, VA?

For Extraction Lab Manager jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Extraction Lab Manager jobs in Ashburn, VA look for?

The top searched job categories for Extraction Lab Manager jobs in Ashburn, VA are:

Extraction Lab Manager jobs near you

Senior Data Scientist - Artificial Intelligence

Diverse Agile Solutions

Washington, DC • On-site

$75 - $80/hr

Full-time

Re-posted 3 days ago

Job description

Senior Data Scientist (Artificial Intelligence)
Federal Reserve Board - Division of Consumer and Community Affairs (DCCA)
Company: Diverse Agile Solutions (DAS)
Location: Washington, DC (Hybrid Preferred) | Remote Considered
Job Type: Full-Time Consultant
Clearance/Work Authorization: U.S. Citizenship Required
About Diverse Agile Solutions
Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) specializing in delivering innovative technology solutions and highly skilled IT professionals to federal, state, and commercial organizations. Our expertise spans Artificial Intelligence, Cloud Engineering, Data Analytics, Agile Transformation, DevSecOps, Cybersecurity, Enterprise Architecture, and Digital Modernization.
At DAS, we help organizations solve complex business challenges through emerging technologies while fostering innovation, collaboration, and continuous learning.
Position Overview
Diverse Agile Solutions is seeking a Senior Data Scientist (Artificial Intelligence) to support the Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) as part of its newly established AI Lab.
This is an exciting opportunity to help build next-generation Artificial Intelligence capabilities that improve consumer protection, regulatory oversight, community development, and operational efficiency through Generative AI and Machine Learning.
The ideal candidate is a full-stack AI practitioner capable of owning the complete AI lifecycle-from research and experimentation to application development, deployment, monitoring, and production support. You will work closely with economists, attorneys, analysts, and senior leadership to design intelligent solutions that deliver measurable business value.
What You'll Do
Artificial Intelligence & Machine Learning Development
  • Research, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiatives
  • Build proof-of-concept AI applications and transition successful prototypes into production
  • Develop Generative AI solutions using Large Language Models (LLMs)
  • Design Retrieval-Augmented Generation (RAG) architectures
  • Implement prompt engineering strategies for enterprise AI applications
  • Fine-tune and evaluate foundation models for domain-specific use cases
  • Develop NLP solutions including:
    • Text classification
    • Named Entity Recognition (NER)
    • Information extraction
    • Document summarization
    • Semantic search
  • Apply supervised, unsupervised, deep learning, and statistical modeling techniques
  • Evaluate emerging AI frameworks and technologies for enterprise adoption
Full-Stack AI Application Development
  • Build production-ready AI applications using:
    • Python
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Develop intuitive dashboards and visual analytics applications
  • Create interactive data visualizations using:
    • Plotly
    • Matplotlib
    • Seaborn
    • Tableau
    • Power BI
  • Translate complex analytical findings into actionable business insights
Deployment & MLOps
  • Deploy AI and ML applications into cloud environments
  • Containerize applications using Docker
  • Build CI/CD pipelines for AI deployments
  • Implement model monitoring and observability
  • Create automated retraining pipelines
  • Manage model versioning and lifecycle management
  • Optimize API integrations and AI inference costs
  • Troubleshoot and maintain production AI applications
  • Collaborate with Cloud Engineers and Infrastructure teams
Agile Collaboration
  • Participate in Agile ceremonies including:
    • Sprint Planning
    • Daily Standups
    • Sprint Reviews
    • Retrospectives
  • Partner with business stakeholders to identify AI opportunities
  • Translate business requirements into scalable AI solutions
  • Present findings to executive leadership and technical teams
  • Document code, methodologies, and technical decisions
  • Mentor team members and contribute to the growth of DCCA's AI practice
Governance & Responsible AI
  • Develop AI solutions aligned with federal security and governance standards
  • Support FISMA, Privacy Impact Assessments, and ATO documentation
  • Apply Responsible AI principles including:
    • Fairness
    • Bias detection
    • Explainability
    • Transparency
  • Collaborate with security and compliance teams throughout the AI lifecycle
Required Qualifications
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field
    • Master's degree preferred
  • Minimum 6 years of professional experience developing, deploying, and maintaining AI/ML applications
  • Expert proficiency with Python or R
  • Experience building production AI applications
  • Experience deploying Machine Learning solutions into cloud environments
  • Strong knowledge of:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Generative AI
  • Experience with:
    • Scikit-learn
    • spaCy
    • XGBoost
  • Experience developing interactive applications using:
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Experience creating dashboards and visualizations using:
    • Tableau
    • Power BI
    • Plotly
    • Matplotlib
    • Seaborn
  • Experience with containerization and CI/CD
  • Strong statistical modeling and analytical skills
  • Excellent written and verbal communication skills
  • Ability to independently deliver solutions from concept through production
Preferred Qualifications
Candidates with experience in one or more of the following are highly encouraged to apply:
  • Federal Government or Regulatory Agency experience
  • Financial Services or Banking
  • Consumer Finance
  • Banking Supervision
  • Agile methodologies (Scrum, Kanban)
  • Jira or Azure DevOps
  • Large Language Models (GPT, Llama, Nova)
  • LangChain
  • LlamaIndex
  • Prompt Engineering
  • Vector Databases
  • Semantic Search
  • AWS AI Services including:
    • Amazon Bedrock
    • SageMaker
    • Comprehend
    • Rekognition
    • Transcribe
  • AWS deployment services:
    • EC2
    • ECS
    • Lambda
    • S3
    • CloudWatch
  • Databricks
  • Infrastructure as Code:
    • Terraform
    • CloudFormation
  • MLOps
  • Model Monitoring
  • Automated Retraining
  • Responsible AI
  • AI Explainability
  • Multi-modal AI
  • AWS Certifications
  • Experience handling regulated or sensitive data
Technical Skills
Programming Languages
  • Python
  • R
  • SQL

AI / Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Deep Learning
  • NLP
  • RAG
  • Prompt Engineering
  • Semantic Search
  • Fine-Tuning

Frameworks & Libraries
  • Scikit-learn
  • spaCy
  • XGBoost
  • LangChain
  • LlamaIndex
  • Streamlit
  • Dash
  • Flask
  • R Shiny

Cloud & DevOps
  • AWS
  • Docker
  • Kubernetes
  • CI/CD
  • Git
  • Terraform
  • CloudFormation

Visualization
  • Tableau
  • Power BI
  • Plotly
  • Matplotlib
  • Seaborn
  • ggplot2
Why Join Diverse Agile Solutions?
At DAS, you'll work alongside some of the industry's brightest technology professionals on innovative federal initiatives that leverage Artificial Intelligence to solve meaningful business challenges.
We offer:
  • Competitive compensation
  • Exciting federal technology programs
  • Opportunities to work with cutting-edge AI technologies
  • Collaborative and innovative culture
  • Professional development and certification support
  • Exposure to enterprise-scale cloud and AI platforms
  • Opportunity to help shape the future of AI in the federal government
Work Environment
  • Full-time consulting position
  • Hybrid work environment (Washington, DC)
  • Remote work may be considered
  • Agile, collaborative AI Lab
  • Fast-paced innovation environment focused on research and rapid prototyping
Equal Employment Opportunity
Diverse Agile Solutions is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable federal, state, or local law.
Apply Today
If you're passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions that make a real impact, we'd love to hear from you.
Join Diverse Agile Solutions and help shape the future of AI innovation within the Federal Reserve Board.

Apply