Our Bristol Myers Squibb research site in Cambridge Crossing will help us continue to deliver on our mission, positioning the company and our scientists in the heart of a vibrant ecosystem of world-class science, innovation, and business opportunities.
Position Responsibilities:
In the role as a Senior Scientist within the Cancer Immunology team, the ideal candidate:
- Proposes and evaluates new target ideas in the Cancer Immunology space.
- Uses current and innovate new techniques for identification and selection of T cell engager (TCE) lead drug candidates.
- Executes experiments independently, troubleshoot as needed, interpret, and discuss data.
- Performs laboratory work related but not limited to tissue culture, multi-parametric flow cytometry, western blot, immune cell culture using activation/expansion/exhaustion assays, proliferation and tumor killing assays, 2D/3D co-culture activity assays, ELISA, Luminex, processing of DNA/RNA/protein.
- Accurate and detailed record-keeping.
- Presents data in project meetings and department meetings.
- Collaborates with rest of biology team members as well as other functional area leads e.g. protein purification, in vivo pharmacology, DMPK, informatics.
- Utilizes excellent communication and interpersonal skills.
Basic Qualifications:
- Bachelor’s Degree
- 7+ years of academic and / or industry experience
Or
- Master’s Degree
- 5+ years of academic and / or industry experience
Or
- Ph.D. or equivalent advanced degree in the Life Sciences
- 2+ of academic and / or industry experience
Preferred Qualifications:
- PhD with 2-4 years of experience.
- Experience and track record in immuno-oncology, immunology, or biologics drug discovery.
- Good understanding of vascular, stromal biology or T cell biology
- Experienced in the design, development and optimization of high-throughput cell-based assays for TCE activity.
- Proficient with primary cell culture and cancer cell line culture.
- Experience with expression modulation tools (overexpression, CRISPRs, RNAi, etc.).
- Extensive knowledge of flow cytometry (BD, Cytek Aurora, iQue).
- Experience with automation systems (TECAN, Integra, etc.).
- Experience with imaging platforms (Incucyte, Opera Phenix etc.).
- Familiar with data mining with published data platforms (DepMap, TCGA, GTEx, GEO, etc.)
- Strong problem-solving skills and understanding of relevant scientific principles.
- Ability to efficiently manage and prioritize multiple projects, coordinating in-house research with collaborative work.
- Ability to summarize and interpret scientific data in a clear, concise, and accurate manner.
- Understand basics to use generative AI to accelerate workflow. Knowledge in scientific coding languages (R, python, etc.) preferred.
- Strong publication record.
