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Extraction Lab Manager Jobs in Woodbridge, NJ (NOW HIRING)

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... Build and maintain ETL/ELT pipelines and orchestration workflows * Create and manage new data ...

Director of Research & Development

Kenilworth, NJ ยท On-site

$195.30 - $238.70/hr

... extraction while recovering precious and critical co-products, and as a closed-loop system it ... Manage a team of research scientists, engineers, and senior technicians, with direct responsibility ...

Pilot Manager

Kenilworth, NJ ยท On-site

$114.30 - $139.70/hr

... extraction while recovering precious and critical co-products, and as a closed-loop system it ... lab. * Partner with process and controls engineering on commissioning, troubleshooting, and ...

New

Expert - Molecular Biology

East Hanover, NJ ยท On-site

$102K - $153K/yr

... extraction, PCR, ddPCR, Bioanalyzer, next generation sequencing (NGS) and NGS library prep ... sample management, lab management, project management is a plus. * Prior knowledge and/or ...

Software Engineer

New York, NY ยท On-site

$210K - $265K/yr

Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze ... Data backend: database schemas, migrations, ETL pipelines, object storage + partition design

Software Engineer

New York, NY ยท On-site

$210K - $265K/yr

Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze ... Data backend: database schemas, migrations, ETL pipelines, object storage + partition design

Data backend: database schemas, migrations, ETL pipelines, object storage + partition design ... management, structured APIs Work Arrangement This role is based in our New York City lab, and we ...

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

Move work from the model lab into production : own artifacts, feature and prompt compatibility ... Improve our LLM systems including structured extraction, research agents, prompt and model ...

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

Move work from the model lab into production : own artifacts, feature and prompt compatibility ... Improve our LLM systems including structured extraction, research agents, prompt and model ...

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

Move work from the model lab into production : own artifacts, feature and prompt compatibility ... Improve our LLM systems including structured extraction, research agents, prompt and model ...

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

Move work from the model lab into production : own artifacts, feature and prompt compatibility ... Improve our LLM systems including structured extraction, research agents, prompt and model ...

... preparation, extraction, and digestion with and without the use of instrumentation following ... Manages multiple projects as assigned * Maintains Laboratory Notebook * Adheres to internal ...

Showing results 21-40

Extraction Lab Manager information

See Woodbridge, NJ salary details

$32.8K

$92.8K

$150.4K

How much do extraction lab manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for extraction lab manager in Woodbridge, NJ is $92,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $112,100.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Extraction Lab Manager jobs in Woodbridge, NJ?

For Extraction Lab Manager jobs in Woodbridge, NJ, the most frequently searched job titles are:

What cities near Woodbridge, NJ are hiring for Extraction Lab Manager jobs?

Cities near Woodbridge, NJ with the most Extraction Lab Manager job openings:

Infographic showing various Extraction Lab Manager job openings in Woodbridge, NJ as of August 2026, with employment types broken down into 42% Full Time, 31% Part Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,847 per year, or $44.6 per hour.

Senior Data Scientist - Generative AI (Data Science Lab)

Spartan Technologies, Inc.

Manhattan, NY โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Senior Data Scientist (Generative AI), Data Science Lab
  • Direct Hire
  • Hybrid
  • Office locations: NYC, NY | Holmdel, NJ | Stamford, CT | Bethlehem, PA, Boston, MA

We are seeking a Senior Data Scientist - Generative AI to be a contributor with a strong background in LLM and Generative AI. You will be responsible developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Company's products. You will collaborate with Data Science Tech Leads on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and the Company's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
You Will:
  • Develop Deep Learning/Large Language Model/Generative AI capabilities
    • Mapping and mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs
    • AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
    • Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation and prompt engineering
    • Scaling LLM models both in development and in production
    • Design and develop high-quality prompts and templates that guide the behavior and responses of LLM. Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance
    • Evaluate LLM models on statistical tests, business metrics, and bias an other regulatory metrics
  • Develop Deep Learning/Large Language Model/Generative AI capabilities
    • Mapping and mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs
    • AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
    • Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation and prompt engineering
    • Scaling LLM models both in development and in production
    • Design and develop high-quality prompts and templates that guide the behavior and responses of LLM. Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance
    • Evaluate LLM models on statistical tests, business metrics, and bias an other regulatory metrics
  • Develop Enterprise Test and Learn Capabilities
    • Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques identifying opportunities for upscaling the methodology best practices
    • Develop and execute advanced data-driven experiments to optimize various aspects of Guardian's business
    • Creation of test hypothesis, experiment design including KPI selection, and collection and analysis of data
  • Support and help build the Data Science Lab (DSL)
    • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
    • Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
    • Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
    • Identification of source data and data quality checks both in model/solution development and in production
    • Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
  • Contribute to the overall Data Science organization
    • Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups
    • Contribute to standardization of Data Science tools, processes, and best practices

You are:
Passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for the Company. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
You have:
  • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
  • 3+ years of hands-on ML modeling/development experience
  • Strong theoretical foundations in probability & statistics, and causal inferencing techniques
  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
  • Strong programming skills in Python including PyTorch and/or Tensorflow
  • Solid background in algorithms and a range of ML models
  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
  • Excellent analytical and problem-solving abilities with superb attention to detail
  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success