Company
4:59 - Prolynx
QCAnalyticalScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“QC Analytical Scientist. Skills: Bioanalytical method development, Ligand-binding assays, LC-MS/MS quantitation, CRO oversight. Define analytical approaches. Select assay platforms”
What You'll Achieve.
Ensure quantitative rigor; Ensure data integrity; Meet GLP and regulatory expectations
Industry & Context.
Troubleshoot issues; Root cause analysis
What They're Looking For.
Must Have
PhD in Analytical Chemistry, PhD in Pharmaceutical Sciences, PhD in Biochemistry, 8–15+ years relevant experience, Expertise in bioanalytical method development, Expertise in bioanalytical method validation, Expertise in bioanalytical data interpretation, Deep conceptual understanding of LC-MS/MS, Experience overseeing CRO data, Experience evaluating CRO data, Working knowledge of GLP bioanalysis, Working knowledge of regulatory expectations
Nice to Have
Experience across multiple molecular modalities, Background in analytical development, Background in QC for regulated products, Experience supporting IND-enabling studies, Experience supporting clinical programs, Familiarity with complex drug delivery systems, Familiarity with long-acting drug delivery systems
What You'll Do.
Define analytical approaches
Select assay platforms
Design outsourced studies
Manage outsourced studies
Critically review assay development
Critically review assay validation
Critically review sample analysis
Identify deficiencies in methods
Identify deficiencies in data quality
Identify deficiencies in interpretation
Drive resolution of deficiencies
Ensure quantitative rigor
Ensure data integrity
Evaluate calibration models
Evaluate accuracy/precision
Evaluate assay robustness
Detect matrix effects
Detect assay interference
Troubleshoot matrix effects
Troubleshoot instability
Troubleshoot adsorption
Troubleshoot assay interference
Establish internal standards
Apply regulatory principles
Ensure methods meet GLP
Ensure methods meet regulatory
Ensure datasets meet GLP
Ensure datasets meet regulatory
Contribute to analytical sections
Implement quality systems
Implement documentation standards
Support cross-functional decision making
Work closely with teams
Interpret data correctly
Distinguish analytical artifacts
Distinguish biological signals
Provide clear recommendations
Apply consistent analytical thinking
Ensure comparability of data
Ensure continuity of data
How You'll Work.
Team & Collaboration
Cross-functional decision making; Work closely with PK/PD; Work closely with biology; Work closely with clinical teams
Communication Scope
Data interpretation; Clear recommendations
Process & Methodology
Study design, Study management
Full Job Description
## Qualifications PhD in Analytical Chemistry, Pharmaceutical Sciences, Biochemistry, or related field 8–15+ years of relevant experience in biotech, pharma, or CRO environments Demonstrated expertise in bioanalytical method development, validation, and data interpretation Strong understanding of both: Ligand-binding assays (e.g., ELISA, MSD) LC-MS/MS-based quantitation (hands-on experience not required, but deep conceptual understanding is essential) Experience overseeing and critically evaluating CRO-generated data Working knowledge of GLP bioanalysis and regulatory expectations (e.g., ICH M10) Solid grounding in pharmacokinetics and interpretation of concentration–time data Preferred Qualifications Experience across multiple molecular modalities (peptides, monoclonal antibodies, small molecules) Background in analytical development or QC for regulated products Experience supporting IND-enabling studies or clinical programs Familiarity with complex or long-acting drug delivery systems ## Own bioanalytical strategy Define fit-for-purpose analytical approaches for PK, PD, and mechanistic studies Select appropriate assay platforms (ligand-binding, LC-MS-based, hybrid methods) Lead CRO oversight Design and manage outsourced bioanalytical studies Critically review assay development, validation, and sample analysis Identify deficiencies in methods, data quality, or interpretation and drive resolution Ensure quantitative rigor and data integrity Evaluate calibration models, LLOQ, accuracy/precision, and assay robustness Detect and troubleshoot issues such as matrix effects, instability, adsorption, and assay interference Establish internal standards for data quality across programs Apply QC and regulatory principles Ensure methods and datasets meet GLP and regulatory expectations (e.g., ICH M10) Contribute to analytical sections of IND-enabling packages and regulatory filings Implement quality systems and documentation standards where needed Support cross-functional deci
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