Senior Scientist - Large Molecule Bioanalysis & Insights

IQVIA Laboratories; Indianapolis (IN); On-site; USD 64,000 - 134,000; Full time

Job summary

IQVIA Laboratories in Indiana seeks a Senior Scientist, Large Molecule Bioanalytical to organize and interpret LC/MS data from early drug discovery studies. You will curate datasets, ensure traceability, and translate results into actionable insights to guide compound profiling and lead optimization.

The role emphasizes collaboration with DMPK, analytical, informatics and project teams to optimize data pipelines, quality control, and reproducible workflows across modalities including

Qualifications

• Bachelor’s or Master’s degree in analytical chemistry, pharmacokinetics, pharmaceutical sciences, biochemistry, or a related scientific field.
• 3–7+ years of experience working with LC/MS data in discovery stage ADME or DMPK settings.
• Strong understanding of LC/MS workflows, quantitative data analysis, and common discovery ADME assays.

Responsibilities

• Organize, curate, and evaluate large molecule LC/MS data from early drug discovery ADME studies.
• Ensure data accuracy, completeness, and traceability from raw outputs to reports.
• Perform quality-control reviews to identify outliers and artifacts.
• Evaluate ADME parameters to support structure-activity relationships and decision-making.
• Collaborate with DMPK, analytical, informatics, and project teams to optimize data pipelines.

Skills

Analytical thinking

Scientific rigor

Cross-functional collaboration

Data communication

Data-management practices

Bioanalytical workflows knowledge

Education

Bachelor’s or Master’s in Analytical Chemistry

Tools

LC/MS

Job description

IQVIA Laboratories in Indiana seeks a Senior Scientist, Large Molecule Bioanalytical to organize and interpret LC/MS data from early drug discovery studies. You will curate datasets, ensure traceability, and translate results into actionable insights to guide compound profiling and lead optimization.

The role emphasizes collaboration with DMPK, analytical, informatics and project teams to optimize data pipelines, quality control, and reproducible workflows across modalities including