Senior Scientist, Immunology

Core responsibilities:

• Design and execute complex in vitro assays using primary human immune cells and patient-derived tissues for target validation, mechanism of action studies, and small molecule screening
• Drive projects through the entire development lifecycle, from initial target ideation and validation to formal adoption into the company portfolio
• Deploy state-of-the-art technologies such as flow cytometry and high-content imaging to address key scientific questions
• Lead scientific initiatives and early drug discovery programs by evaluating the latest scientific developments and managing external collaborations

This role creates positive change by advancing drug discovery through innovative immunology research, working to uncover solutions for various target classes and I&I indications that could lead to new medical treatments.

Required qualifications:

• Ph.D in Immunology or related discipline, or BSc/MSc degree with significant relevant experience in pharmaceutical/biotechnology industry
• Extensive hands-on experience in designing, executing and optimizing in vitro assays utilizing primary human immune cells/patient derived tissue
• In-depth understanding of gut inflammation and knowledge of in vitro relevant translational and in vivo models
• Experience with screening small molecules, working on drug discovery programs, and data analysis including dose response relationships
• Exposure to assay technologies such as ELISA, FRET, RT-PCR, flow cytometry and imaging with experience in target validation studies

Compensation and benefits:

• Estimated annual base salary range: £70,400 to £93,500
• Annual bonus eligibility
• Equity compensation
• Comprehensive benefits package
• Values-driven culture emphasizing integrity, collaboration, learning, urgency, and ownership

Recursion is a clinical stage TechBio company that decodes biology to radically improve lives through its Recursion OS platform, which generates one of the world's largest proprietary biological and chemical datasets and uses machine learning to advance the future of medicine.