About this opportunity
Your Role
• Chemical analysis of samples from manufacturing operations or raw materials.
• Timely and accurate documentation and data management in laboratory databases and records.
• Routine laboratory duties including sample, instrument maintenance.
• Coaching other colleagues in Statistical Process Control methods and advanced analytical methods include SOP and WI document preparation.
• Execute QC-related projects, including report preparation.
Who You Are
• Bachelor’s degree in chemical, chemical engineering or any other related field.
• Minimum 2 years of experience in quality control or experience in the chemical industry is preferred.
• Ability to communicate and coordinate across functions.
• Good English speaking and writing are a plus.
• Familiar with GC, HPLC, ICP-MS, ICP-OES, IC etc.
• Familiar with SAP system or good Excel skills are a plus.
• Familiar with ISO9001 are a plus.
Job details
How this role compares
Computed from every other active Quality role in our database, not just this employer's listings.
We currently track 757 comparable Quality roles across 94 biopharma companies.
Salary context
145 of 757 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 757 comparable roles
+ 42 more countries
Seniority mix
350 of 757 peers have a known seniority level
Therapeutic area mix
1 of 757 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.