In Vivo Oncology & Immunology Scientist

Bristol Myers Squibb; Cambridge (MA); On-site; USD 97,000 - 118,000; Full time

Job summary

Bristol Myers Squibb in Cambridge, MA is seeking an Associate Scientist to join the In Vivo Pharmacology group, supporting Oncology and Immunology programs. You will design and execute preclinical in vivo studies, focusing on tumor models and immune-mediated disease systems, in a laboratory-based, cross-disciplinary setting.

The role requires strong technical expertise, scientific rigor, and collaboration within a multidisciplinary team; experience with IVIS imaging and data analysis is highly

Qualifications

• Bachelor’s Degree required; typically 2+ years of in vivo experience (industry preferred).
• Hands-on experience with in vivo pharmacology and rodent handling; proficient dosing techniques and sample collection.
• Experience with oncology tumor models and/or immunology disease models preferred.

Responsibilities

• Execute in vivo studies in oncology and immunology using murine cancer and immune-mediated disease models.
• Perform dosing (IV, IP, SC), tumor measurements, clinical scoring, and animal monitoring.
• Analyze data and prepare study summaries; contribute to data presentations and regulatory/project documentation.
• Collaborate cross-functionally with Oncology and Immunology teams; interface with external collaborators or CROs as needed.
• Ensure compliance with IACUC regulations and BMS lab policies; maintain ELN records.

Skills

In vivo pharmacology

Rodent handling

Dosing techniques

IVIS imaging

Data analysis

Team collaboration

Education

Bachelor’s Degree

Tools

GraphPad Prism

Excel

Job description

Bristol Myers Squibb in Cambridge, MA is seeking an Associate Scientist to join the In Vivo Pharmacology group, supporting Oncology and Immunology programs. You will design and execute preclinical in vivo studies, focusing on tumor models and immune-mediated disease systems, in a laboratory-based, cross-disciplinary setting.

The role requires strong technical expertise, scientific rigor, and collaboration within a multidisciplinary team; experience with IVIS imaging and data analysis is highly