Scientist, in vivo - Cell Therapy

at  AstraZeneca

SCIENTIST, IN VIVO - CELL THERAPY

We are seeking a highly-motivated Scientist to join our rapidly growing Cell Therapy Team. In this role you will contribute to the advancement of innovative Cell Therapy products by designing and conducting laboratory experiments, developing methodology, and generating and interpreting scientific data in a highly collaborative environment. Expertise in in vivo tumor models is critical for this role.

EDUCATION AND EXPERIENCE

• At least a BSc/MSc in a biological science (or equivalent professional experience in a relevant discipline), with significant hands-on in vivo experience.

ESSENTIAL SKILLS

• Experience working with murine tumour models within the pharmaceutical or biotechnology industry, or in academia.
• Willingness to undertake hands-on in vivo work in a predominantly laboratory-based role and to work flexibly, including some weekends.
• Utmost integrity and ethical standards associated with animal experimentation.
• Hands-on experience with animal handling and procedures including tumor models, standard routes of substance administration.
• Experience with dissection and tissue collection.
• Strong attention to detail, communication skills, and record keeping. Ability to independently analyse data with appropriate statistical testing.
• Detailed proficiency in the English language, both writing and speaking.

DESIRABLE SKILLS

• Home Office Licence (Modules 1-4) or equivalent qualification for animal work
• Experience working under Home Office Regulations (as a Personal Licence Holder)
• Experience working with humanised mouse models
• Experience with performing mammary fat pad orthotopic tumor implants

• Conducts hands-on in vivo research.
• Contributes to the plans and designs of in vivo studies.
• Communicates the results to team members and is involved in the interpretation of data.
• Supports a team and works collaboratively with project managers to ensure the efficient relay of information and forward translation of data.