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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

19-0000

manufacturing

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Provides entry-level administrative and documentation support for chemistry, manufacturing, and controls activities. 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

Performs routine data collection and sample logging for CMC studies following step-by-step instructions, recording results on prescribed forms and batch/test worksheets
Assembles and files standard CMC documentation (test protocols, stability pull records, manufacturing worksheets) into the document system per prescribed naming and filing conventions
Prepares and labels samples for testing under close supervision, following fixed handling and storage procedures
Enters testing and manufacturing data into logs and spreadsheets, flagging obvious discrepancies to a senior colleague rather than resolving them

Knowledge applied: General knowledge of CMC lab/documentation routines — sample logging, form completion, filing conventions; answers are readily available in written procedures.
Complexity & problem solving: Routine, prescribed tasks; escalates anything non-standard rather than solving it.
Collaboration & interaction: Standard interactions with immediate lab/QA colleagues; completes own assigned tasks.
Typical experience: 0–1 years; minimal experience.

Skills at this level

CMC Documentation Compilation: — Assembles, formats and files CMC records — test protocols, batch worksheets, stability records, IND/IMPD support sections and submission packages — per naming, filing and completeness conventions.
GMP/GLP Records Practice: — Maintains and reviews controlled documentation to GMP/GLP standards, checking records for completeness, correct sign-off and data integrity in a regulated manufacturing environment.
Sample Logging & Stability Handling: — Prepares, labels, stores and logs test samples and maintains stability pull schedules and inventories across concurrent CMC studies following handling procedures.
Data Entry & Discrepancy Reconciliation: — Records testing and manufacturing data into logs, spreadsheets and lab systems, and investigates and reconciles discrepancies across batch records, worksheets and log entries.
Statistical and Trend Analysis Support: — Collects CMC data and compiles/formats statistical and trend analyses of stability and manufacturing results to support resolution of OOS, OOT and manufacturing observations.
Technology Transfer Documentation Coordination: — Tracks and routes technology-transfer and manufacturing-readiness documents between internal lab/QA and external CDMO/CMO partners against project timelines.
Regulatory Submission Support: — Compiles data and support sections for marketing applications, post-approval supplements, annual reports, registration renewals and responses to health authority questions, resolving cross-document inconsistencies.
Luminata (ACD/Labs) CMC Decision-Support Software: — Uses Luminata to organize and connect analytical, process and impurity data across CMC development stages so records and justifications can be compiled and traced for submissions.
CMC Procedure Development: — Contributes to the creation and standardization of documentation procedures, templates and data-capture standards for CMC records within the group.
Working-Lead Guidance: — Guides and trains less experienced associates on CMC filing conventions, GMP record expectations and documentation workflows while leading the work rather than managing people.
Cross-Functional Coordination: — Works within a matrix environment to move CMC documentation and data between R&D, Manufacturing and Quality teams and external partners.

Model-authored from 15 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

Chemistry, Manufacturing & Controls (CMC) — median with , by . Real canon data.

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 19-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-15.4%Chemical Technicians · United States

65,760 → 55,640 jobs

6,700 openings / year, split into:

replacement / exits 6,489

Growth — new jobs (3%)Exits — backfill (97%)

3% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.7%
Growth share of hiring: 3%
Exit / retention pressure high: 97%
Openings / year: 6,700

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$64k

San Francisco-Oakland-Fremont, CA$58k

Washington-Arlington-Alexandria, DC-VA-MD-WV$53k

Boulder, CO$53k

Seattle-Tacoma-Bellevue, WA$53k

Boston-Cambridge-Newton, MA-NH$50k

Lexington Park, MD$49k

Trenton-Princeton, NJ$49k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $39k; 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
Vice President, Chemistry, Manufacturing & Controls (CMC)	jf_chemistry_manufacturing_controls_cmc::E1	$174,847	confident0.06
CMC Supervisor	jf_chemistry_manufacturing_controls_cmc::M1	$88,342	confident0.06
CMC Associate	jf_chemistry_manufacturing_controls_cmc::P1	$63,829	confident0.06
CMC Associate	jf_chemistry_manufacturing_controls_cmc::S2	$44,288	confident0.06

Capability cluster

O*NET 19-4031

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_chemistry_manufacturing_controls_cmc::S1

CMC Coordinator

Chemistry, Manufacturing & Controls (CMC)

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: manufacturing
Function: manufacturing_expansion
Family: chemistry_manufacturing_controls_cmc
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").

Lean Manufacturing · S1review0.17

Machine Shop · S1review0.17

Maintenance · S1review0.17

Manufacturing Engineering · S1review0.17

Pilot Plant Operations · S1review0.17

Production Test · 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 19-4031	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)