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Key statistics

The identity block — every fact is canon, none is generated.

1 of 8

Track

Support

Family rungs priced

S1 · S2 · S3 · S4 · S5

17-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Provides entry-level technical support for chemical process design and plant operations under close supervision. At the Support Associate (S1) level, the role owns a single task type or queue, routine, well-defined requests, and drives individual transactions. None.

What this level does

Runs prescribed bench tests on resulting chemical products following step-by-step instructions, recording readings on standard data sheets
Enters given process parameters into computer models (e.g., DWSIM, Aspen HYSYS) under close supervision, using values supplied by the engineer
Sets up equipment for chemical runs per a fixed checklist and confirms safety guards are in place before starting
Performs basic CAD drafting edits to existing equipment layouts using supplied dimensions and templates

Knowledge applied: General knowledge of standard lab/test routines and equipment-startup checklists; applies readily available instructions.
Complexity & problem solving: Routine, prescribed test and data-entry tasks with answers readily available; escalates anything unexpected.
Collaboration & interaction: Standard interactions; completes own assigned test runs and data sheets under close supervision.
Typical experience: 0–1 yrs; minimal experience.

Skills at this level

Process Simulation Model Building: — Populates and runs computer models of chemical processes in tools such as Aspen HYSYS, CHEMCAD, or DWSIM — entering streams, unit blocks, and parameters — to reproduce or predict process behavior for engineer analysis.
CAD Drafting for Equipment Setups: — Uses CAD software to draft and edit equipment-setup and layout drawings that support safe and efficient chemical runs, working from supplied dimensions, sketches, or marked-up prints.
Bench and Pilot Test Execution: — Runs procedures to isolate different chemical elements and reconfigure them, tests the resulting products, and records readings on standard data sheets following prescribed sampling and sequencing steps.
Equipment Setup and Startup: — Configures reactors, absorption, evaporation, and related process equipment per checklists, verifying safety guards and startup conditions before a chemical run.
Operational Troubleshooting: — Identifies likely causes of operational problems or failures during test and pilot runs by evaluating equipment and system characteristics against expected behavior.
Safety and Environmental Compliance Documentation: — Compiles and maintains checklists and records that document a run's compliance with safety and environmental regulations, noting deviations for engineer review.
Test Procedure Adaptation: — Modifies standard test and setup procedures for unprecedented chemical runs where no established method fits, and documents the revised approach for reuse.
Protocol and Template Creation: — Develops new standardized test protocols, simulation templates, and setup procedures within a specialized process area (such as oxidation) for adoption across the group.
Scientific and Mathematical Application: — Applies working knowledge of chemistry, physics, and mathematics to set up runs correctly, interpret readings, and check that recorded data is internally consistent.
Working-Lead Task Coordination: — Coordinates the sequencing of test tasks and reviews the data sheets, models, and drawings of less experienced technicians, guiding their work without formal supervisory authority.

Model-authored from 19 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

Chemical — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

Demand — is the field growing, or just turning over?

SOC 17-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-32.5%Chemical Engineers · United States

30,120 → 20,330 jobs

1,100 openings / year, split into:

replacement / exits 1,044

Growth — new jobs (5%)Exits — backfill (95%)

5% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +2.6%
Growth share of hiring: 5%
Exit / retention pressure high: 95%
Openings / year: 1,100

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level S1 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$62k

San Francisco-Oakland-Fremont, CA$56k

Washington-Arlington-Alexandria, DC-VA-MD-WV$52k

Boulder, CO$51k

Seattle-Tacoma-Bellevue, WA$51k

Boston-Cambridge-Newton, MA-NH$49k

Lexington Park, MD$47k

Trenton-Princeton, NJ$47k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $37k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates S1 (S1 — Support Associate) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A single task type or queue
Autonomy: Close supervision; follows defined procedures
Complexity: Routine, well-defined requests
Impact: Individual transactions
Decision rights: Acts within scripts; escalates exceptions
Leadership: None

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from S1 is S2.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
VP, Chemical Engineering	jf_chemical::E1	$169,459†	confident0.06
Chemical Process Supervisor	jf_chemical::M1	$85,619†	confident0.06
Associate Chemical Engineer	jf_chemical::P1	$61,862†	confident0.06
Associate Chemical Process Engineer	jf_chemical::S2	$42,923†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 17-2041

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

S1

jf_chemical::S1

Chemical Process Technician

Chemical

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: S
Superfunction: industrial_energy_operations
Function: engineering_expansion
Family: chemical
Universal level: 1 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

Aeronautical · S1review0.17

Agricultural · S1review0.17

Agronomist · S1review0.17

Application Services · S1review0.17

Communication · S1review0.17

Electrical Engineering · S1review0.17

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 17-2041	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)