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Key statistics

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

6 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

19-0000

manufacturing

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Senior individual-contributor expert who sets technical strategy for chemistry, manufacturing, and controls across complex pharmaceutical programs. At the Principal Professional (P6) level, the role owns organization-wide architecture and the hardest problems, strategic, open-ended problems shaping the technical future, and drives organization-wide. Recognized authority; multiplies many teams.

What this level does

Drive global CMC policy and control-strategy frameworks that programs across the organization operate within, functioning as the enterprise's deepest authority and last-resort source on CMC
Lead the highest-risk global regulatory negotiations on manufacturing and control, shaping how novel modalities and manufacturing platforms are argued to and accepted by agencies
Define the CMC approaches, standards and control philosophies that become the organization's default reasoning for a class of products, validated by successful precedent-setting approvals
Provide field-shaping expertise that influences industry practice and regulatory expectations, with full independence to set direction on broad, ambiguous or contested CMC problems
Provide high-level mentorship to principal and senior CMC professionals and inform board-level and executive risk decisions on the CMC dimension of the portfolio

Knowledge applied: Applies field-defining CMC authority to shape organization-wide policy and control philosophy, serving as the last-resort expert on a domain.
Complexity & problem solving: Provides visionary, field-shaping problem-solving on the broadest and most contested CMC questions, setting how a problem-area is reasoned about.
Collaboration & interaction: Influences industry practice and regulatory expectations as a recognized authority, and informs executive and board-level risk decisions.
Typical experience: 15+ years as a principal CMC expert with a record of precedent-setting global approvals.

Skills at this level

Synthetic organic / process chemistry: — Develops and optimizes synthetic routes and manufacturing processes for drug substance, taking API process development through to cGMP drug-substance manufacturing for clinical supply.
Statistical and trend analysis: — Applies statistical and trend-analysis methods to CMC datasets to detect and resolve out-of-specification (OOS), out-of-trend (OOT), stability and manufacturing anomalies.
CTD authoring and submission assembly: — Builds and formats Common Technical Document (CTD) modules and assembles the CMC sections of IND, IMPD, NDA, sNDA, BLA and MAA submissions to meet the requirements of one or more health authorities.
cGMP batch and quality documentation review: — Reviews batch records, Certificates of Analysis, validation, stability, deviation and CAPA reports to confirm they support product integrity and regulatory adequacy.
Technology transfer: — Provides technical support to transfer analytical methods and manufacturing processes between sites or scales, ensuring manufacturing readiness for clinical API production.
CMC regulatory strategy: — Plans and defends the CMC control strategy across programs, managing post-approval supplements, annual reports, registration renewals and the sequence of filings for a new chemical entity.
Health authority interaction: — Serves as point of contact for regulatory agencies, drafting responses to health authority questions and negotiating CMC positions in submissions, meetings and pre-approval inspections.
CMC investigation and problem resolution: — Applies chemistry and biotechnology expertise to investigate manufacturing and control problems for API and drug products, driving OOS, OOT, stability and deviation issues to root cause.
Luminata CMC decision support: — Uses Luminata (ACD/Labs) to consolidate process, analytical and impurity data and manage CMC decision-support and control-strategy justification across the drug-development lifecycle.

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

-0.3%Chemists · United States

83,530 → 83,250 jobs

6,300 openings / year, split into:

replacement / exits 5,875

Growth — new jobs (7%)Exits — backfill (93%)

7% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +4.9%
Growth share of hiring: 7%
Exit / retention pressure high: 93%
Openings / year: 6,300

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 P6 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$324k

San Francisco-Oakland-Fremont, CA$290k

Washington-Arlington-Alexandria, DC-VA-MD-WV$269k

Boulder, CO$265k

Seattle-Tacoma-Bellevue, WA$265k

Boston-Cambridge-Newton, MA-NH$254k

Lexington Park, MD$247k

Trenton-Princeton, NJ$246k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $194k; 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 P6 (P6 — Principal Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Organization-wide architecture and the hardest problems
Autonomy: Defines direction; minimal oversight
Complexity: Strategic, open-ended problems shaping the technical future
Impact: Organization-wide
Decision rights: Sets technical strategy for a major area
Leadership: Recognized authority; multiplies many teams

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

Promotion

P6is the top of this family's ladder — progression from here is a lattice move (see adjacent roles below), not a rung.

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
Senior Director, Chemistry, Manufacturing & Controls (CMC)	jf_chemistry_manufacturing_controls_cmc::M6	$249,314	confident0.06
Staff CMC Scientist	jf_chemistry_manufacturing_controls_cmc::P5	$142,824	confident0.06
Chief CMC Officer	jf_chemistry_manufacturing_controls_cmc::E5	$351,571	confident0.12
Director, Chemistry, Manufacturing & Controls	jf_chemistry_manufacturing_controls_cmc::M5	$194,360	confident0.12

Capability cluster

O*NET 19-2031

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

P6

jf_chemistry_manufacturing_controls_cmc::P6

Principal CMC Scientist

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: P
Superfunction: manufacturing
Function: manufacturing_expansion
Family: chemistry_manufacturing_controls_cmc
Universal level: 6 / 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 · P6review0.17

Machine Shop · P6review0.17

Maintenance · P6review0.17

Manufacturing Engineering · P6review0.17

Pilot Plant Operations · P6review0.17

Production Test · P6review0.17

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 19-2031	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)