KBI
Data Reviewer/Associate Scientist
USA - CO - Boulder
Sponsorship not specified$74k-$102kDetected 19 days ago
ReactGMP
About the role
- Reviews data associated with development and qualification of biopharmaceutical assay methods and testing of in-process and drug substance/product biopharmaceutical protein samples.
Responsibilities
- Understands experiments and biopharmaceutical assays used to develop methods and/or test samples. Maintains and updates knowledge of instrumentation.
- Responsible for developing a current understanding of cGMP and other regulatory requirements.
Requirements
- B.S. degree and 5-7 years of related experience.
- M.S. and 4-5 years of related experience.
Compensation
- Salary range provided per current averages and expectations.
- The salary and job title for this opening will be based on the selected candidate's qualifications and experience and may be outside this range.
- KBI has a robust total rewards strategy which includes an annual bonus structure for all employees, medical, dental, and vision coverage, paid PTO and holidays, 401K matching with 100% vesting upon hire and employee recognition programs.
- $74,000-$102,300
Benefits
- Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.
Company info
- At KBI Biopharma, we are advancing science and accelerating breakthroughs.
- As a global leader in biopharmaceutical development and manufacturing, we empower life science companies to bring new medicines and vaccines to the world faster.
- Explore your potential at KBI, where innovation meets impact.
- I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me.
Equal opportunity
- KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force.
This listing is sourced directly from KBI's careers page and normalized into a canonical job model.