Senior Scientist, Translational Medicine — IBD Biomarkers

Genentech; South San Francisco (CA); On-site; USD 100,400 - 186,400; Full time

Job summary

Genentech is seeking a Scientist 3 to advance translational research in IBD, combining wet-lab experiments with data science. You will work with patient-derived samples, organoid models, and high-dimensional omics to identify targets and biomarkers, supporting clinical development decisions.

You will collaborate across Research, Bioanalytical Sciences, Biostatistics, Computational Sciences, and Clinical Development, applying scRNA-seq, CITE-seq, and spatial proteomics to generate actionable

Qualifications

• PhD in Immunology, Cell/Molecular Biology, or related field with strong publications.
• Minimum 3 years hands-on immunology or mucosal biology, IBD focus preferred.
• Demonstrated expertise in flow cytometry, multiplex immunoassays, ELISA, RT-qPCR, histology, and single-cell workflows (scRNA-seq, CITE-seq).

Responsibilities

• Design and perform studies using human biospecimens to study IBD mechanisms.
• Develop and apply human-relevant models (organoids, co-cultures, air-liquid interfaces).
• Create and execute assays to measure pharmacodynamic readouts.
• Analyze high-dimensional omics data with R or Python to find biomarkers.
• Collaborate with cross-functional teams to drive clinical development strategies.

Skills

Flow cytometry

Multiplex immunoassays

ELISA

RT-qPCR

Histology

Single-cell workflows

scRNA-seq

CITE-seq

Python

R

Independent study design

Education

PhD in Immunology or related life sciences

Post-doctoral experience

Tools

R

Python

Job description

Genentech is seeking a Scientist 3 to advance translational research in IBD, combining wet-lab experiments with data science. You will work with patient-derived samples, organoid models, and high-dimensional omics to identify targets and biomarkers, supporting clinical development decisions.

You will collaborate across Research, Bioanalytical Sciences, Biostatistics, Computational Sciences, and Clinical Development, applying scRNA-seq, CITE-seq, and spatial proteomics to generate actionable