Staff Scientist, Immunotherapy & CAR-T (Oncology)

Washington University in St. Louis; Missouri; Hybrid; USD 48,000 - 87,000; Full time

Benefits offered by this job

Vacation time

Health insurance

Transit pass

Job summary

Washington University Medical Campus in Saint Louis invites applications for a Staff Scientist in the oncology program. The role centers on translational cell therapy, advancing CRISPR/Cas9 gene-edited CAR-T therapies for hematologic malignancies from discovery to IND-enabling studies and clinical translation.

The team is collaborative and well‑resourced. The successful candidate will design and execute wet- and dry-lab experiments, analyze data, train technicians, and collaborate with

Qualifications

• Master’s degree or equivalent; PhD preferred.
• 3+ years of Laboratory Operations experience.
• Experience with wet-lab and dry-lab experiments is expected.
• Strong skills in data analysis and cancer biology.

Responsibilities

• Performs complex analyses/projects according to research protocols and explains methods to technicians.
• Enters data and maintains current files on research projects.
• Monitors data quality and performs preliminary statistical analyses.
• Assists in training and development of technicians, acting as a group leader.

Skills

Analytical problem solving

Cancer biology

Cell cultures

Communication

Computer literacy

Data analysis

Data interpretations

Flow cytometry

Genomics

Molecular biology

Mouse handling

Protein biochemistry

Subcutaneous injections

Education

Master’s degree or equivalent

Ph.D. - Doctor of Philosophy

Job description

Washington University Medical Campus in Saint Louis invites applications for a Staff Scientist in the oncology program. The role centers on translational cell therapy, advancing CRISPR/Cas9 gene-edited CAR-T therapies for hematologic malignancies from discovery to IND-enabling studies and clinical translation.

The team is collaborative and well‑resourced. The successful candidate will design and execute wet- and dry-lab experiments, analyze data, train technicians, and collaborate with