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Sampling Coordinator Jobs in Delaware (NOW HIRING)

... sample collection * Site characterization, remedial design, and feasibility studies * Data compilation, evaluation, and QA/QC * Report writing, permitting, cost estimating support * Coordination with ...

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Sampling Coordinator information

What is a sampling coordinator?

Sampling Coordinators are professionals responsible for managing and overseeing the collection, preparation, and distribution of product samples within an organization. They coordinate between various departments such as production, quality control, and sales to ensure samples meet client specifications and deadlines. Their role often includes tracking sample requests, maintaining detailed records, and ensuring that samples are delivered efficiently to clients or internal teams. Strong organizational and communication skills are essential for this position.

What are the key skills and qualifications needed to thrive as a sampling coordinator?

To thrive as a Sampling Coordinator, you need a background in supply chain management or logistics, strong organizational skills, and attention to detail, often supported by a relevant degree or experience in materials coordination. Familiarity with inventory management systems, Microsoft Excel, and enterprise resource planning (ERP) software is typically required. Excellent communication, time management, and problem-solving abilities are essential soft skills for collaborating with vendors and internal teams. These competencies are crucial to ensure timely, accurate sample distribution and seamless workflow in product development or quality assurance processes.

What are some common challenges faced by sampling coordinators, and how can they be addressed?

Sampling Coordinators often face challenges related to tight timelines, coordination among multiple departments, and maintaining sample quality standards. Effective communication and proactive scheduling are crucial to prevent delays and miscommunication between sales, production, and logistics teams. Additionally, attention to detail and strong organizational skills help ensure that samples meet client specifications and are delivered promptly. Building good relationships with vendors and internal stakeholders can also smooth out potential bottlenecks in the sampling process.

What is the difference between Sampling Coordinator vs Laboratory Technician?

AspectSampling CoordinatorLaboratory Technician
Required CredentialsHigh school diploma or equivalent; certifications in sampling or safety often preferredHigh school diploma or associate degree; certifications in lab procedures may be required
Work EnvironmentField sites, industrial or environmental settingsLaboratories, research facilities
Employer & Industry UsageEnvironmental, construction, manufacturing sectorsHealthcare, research, quality control labs
Common Search & Comparison IntentYesYes

The main difference is that Sampling Coordinators focus on collecting samples from various environments, ensuring proper procedures, while Laboratory Technicians analyze samples in lab settings. Both roles require related certifications and are essential in industries like environmental and manufacturing sectors, but they differ in work environment and specific responsibilities.

How to become a sampling coordinator?

To become a sampling coordinator, candidates typically need a high school diploma or equivalent, with some roles preferring post-secondary education or relevant experience in logistics, inventory management, or customer service. Developing skills in organization, communication, and familiarity with sampling or inventory software can improve job prospects; certifications in supply chain or logistics may also be beneficial.
Infographic showing various Sampling Coordinator job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

$125K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare it for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.


Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

158th of 297 rated public sector bodies


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONAL?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • LBI - ADCCI - Compliance Planning & Analytics (CP&A), Workload Development & Delivery (WDD). Team will be determined at time of selection.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:

  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.


AND
You must also meet the following requirement(s):

  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03 or 04 positions.


For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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