Staff Scientist – Tumor Immunology & Neuroimmunology Lab

Washington University in St. Louis; St. Louis (MO); On-site; USD 48,000 - 87,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

Transit benefits (U-Pass)

Tuition assistance

Caregiver leave

Job summary

The Washington University in St. Louis invites applications for a Staff Scientist in the Peng Laboratory within WashU Medicine. The role focuses on tumor immunology, neuroimmunology, and T cell biology to advance translational studies and immunotherapy strategies.

Ideal candidates hold an M.D. or Ph.D. with strong training in immunology or cancer biology, experience working with mice or patient samples, and familiarity with data analysis and sequencing techniques.

Qualifications

• Master’s degree or combination of education and/or experience may substitute for minimum education.
• Ph.D. preferred for the position.
• Laboratory Operations experience (3 years)

Responsibilities

• Designs research protocols and procedures for data collection and management.
• Assist with grant preparation and reporting.
• Perform complex statistical analysis and write interpretative reports.
• Document research topics and prepare papers for publication or presentation.
• Identify and implement technical or procedural improvements in testing methods.
• Conduct literature searches related to the project.
• Perform other duties as assigned.

Skills

Analytical Problem Solving

Communication

Computer Literacy

Data Analysis

Data Interpretations

Education

Master’s degree

Ph.D. - Doctor of Philosophy

Job description

The Washington University in St. Louis invites applications for a Staff Scientist in the Peng Laboratory within WashU Medicine. The role focuses on tumor immunology, neuroimmunology, and T cell biology to advance translational studies and immunotherapy strategies.

Ideal candidates hold an M.D. or Ph.D. with strong training in immunology or cancer biology, experience working with mice or patient samples, and familiarity with data analysis and sequencing techniques.