Classification Codes and National Datasets

Using classification codes to understand datasets and STEMM learning to career pathways

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Biosciences Sector

Examples of making meaning from system classification landscapes

Exploring classification systems can feel complex. Starting with a specific industry is a helpful way to begin. This section uses biosciences as a practical example. It demonstrates how industry, occupational, postsecondary, and secondary pathway classification codes and data can be connected to make meaning across systems.

Bioscience NAICS Codes

To understand the bioscience sector, SOA is using the Bioscience Innovation Organization’s framework to define the landscape, with the addition of the hospital sector for our working definition. This includes 28 national industries (i.e. 6-digit NAICS codes). Hospitals were added to this definitional framework because, although not traditionally included in biosciences, hospitals employ many STEMM workers and are often amongst the largest regional employers in non-urban communities. Below are examples showing how to decipher two of the NAICS codes and the complete list of NAICS codes used in our working definition of the biosciences industry.

Here is how to interpret two NAICS Codes:

NAICS Code: 325414, Description: Biological Product (except Diagnostic) Manufacturing
2-Digit: 32 Manufacturing
4-Digit: 3254 Pharmaceutical and Medicine Manufacturing
6-Digit: 325414 Biological Product (except Diagnostic) Manufacturing

NAICS Code: 541380, Description: Testing Laboratories
2-Digit: 54 Professional, Scientific, and Technical Services
4-Digit: 5413 Architectural, Engineering, and Related Services
6-Digit: 541380 Testing and Laboratory Services

STEMM and Biosciences SOC Codes

Defining the landscape of “STEMM occupations” is an important component of understanding STEMM learning to career pathways. SOA uses a list of 99 occupations across 8 minor occupational groups, identified based on the technical requirements in each role, their relation to STEMM, and input from labor researchers and industry associations. The list of SOC codes includes medical and healthcare occupations and captures some of the educator workforce that overlaps with research professions. However, because K-12 educators are not typically classified by the discipline they teach they are not included in the dataset at present. Understanding the definitional basis for the occupations being evaluated is an important part of understanding STEMM career pathways.

Below we offer the list of 99 STEMM occupations we use in our analysis and work. We also provide a table showing, within the biosciences industry as defined above, the 20 most common STEMM occupations in the industry across the nation, and the typical level of education upon entering that occupation. This data comes from Lightcast, a third-party data provider that aggregates data from the Bureau of Economic Analysis, Bureau of Labor Statistics, Census, National Center for Education Statistics, state governments, and more.

Table of 99 STEMM SOC Codes

Table of 20 most common STEMM occupations in bioscience in the US for 2025

Bioscience CIP Codes

Using O*Net and the list of STEMM occupations, we can learn more about common educational pathways into those occupations.

Let’s explore instructional programs related to SOC code 19-4021: Biological Technicians. Using O*Net, we can look at the broad subject areas and the exact majors that are common when entering this occupation. At the 2-digit CIP code level, we learn that two broad subject areas are common paths of study:

41 - Science Technologies/Technicians

26 - Biological and Biomedical Sciences

At the 6-digit CIP code level, we learn that there are 19 exact majors/specific instructional programs that are common for people entering this occupation.

41.0101: Biology Technician/Biotechnology Laboratory Technician program

26.0101: Biology/Biological Sciences, General, specific program

26.0102: Biomedical Sciences, General, specific program

26.0202: Biochemistry, specific program

26.0204: Molecular Biology, specific program

26.0406: Cell/Cellular and Molecular Biology, specific program

26.0502: Microbiology, General, specific program

26.0503: Medical Microbiology and Bacteriology, specific program

26.0508: Microbiology and Immunology, specific program

26.0701: Zoology/Animal Biology, specific program

26.0708: Animal Behavior and Ethology, specific program

26.0709: Wildlife Biology, specific program

26.0801: Genetics, General, specific program

26.1102: Biostatistics, specific program

26.1103: Bioinformatics, specific program

26.1104: Computational Biology, specific program

26.1302: Marine Biology and Biological Oceanography, specific program

26.1304: Aquatic Biology/Limnology, specific program

26.1501: Neuroscience, specific program

This example shows how you can understand postsecondary learning pathways using publicly available information about occupations you care about.

‍Bioscience CTE Clusters

Because Advance CTE Career Clusters were established based on industry and occupational alignment, we can use available crosswalks to understand types of K-12 learning opportunities that connect with industries and occupations we care about. Below we use our definition of the bioscience industry – defined by 28 specific NAICS codes – to understand which CTE Career Clusters offer learning that is relevant to the industry. These clusters represent industry relevant pathways for learners at the K-12 level.