Relation
TechBio
PrincipalScientist,BiologicsDrugDiscovery
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Scientist, Biologics Drug Discovery at Relation. Skills: Biologics drug discovery, Modality choice, Discovery cascades, Candidate selection, CRO management. Apply deep biologics drug discovery knowledge to shape program plans, modality choice, and discovery cascades.. Drive biologics programs end-to-end — from target validation and hit identification through lead characterization, optimization, and developability triage — against agreed Target Product Profiles (TPPs).”
Industry & Context.
Solve complex problems that have not been solved before.
What They're Looking For.
Must Have
PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life-science discipline., Hands-on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programs progressing through key discovery milestones (target validation, hit-to-lead, lead optimization, candidate selection)., Proven experience working in a matrixed pharmaiotech environment, partnering effectively across functions (e. g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders., Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions., Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology., Hands-on experience with the data types that drive biologics drug discovery decisions, including cell-based functional and screening assays and biophysical characterization (SPRiacore, BLI/Octet)., Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies)., A good understanding of biologics drug discovery end-to-end, including TPP-driven decision-making, developability considerations, and awareness of what is required to support IND-enabling activities., Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed.
Nice to Have
Familiarity with bone biology and bone-microenvironment models (osteoblast, osteoclast, mineral-binding or resorption assays)., Peer-reviewed publications in the biologics drug discovery space., Prior experience mentoring junior scientists., Exposure to a TechBio or computationally-driven discovery environment.
What You'll Do.
Apply deep biologics drug discovery knowledge to shape program plans
and discovery cascades.
Drive biologics programs end-to-end — from target validation and hit identification through lead characterization
and developability triage — against agreed Target Product Profiles (TPPs).
Make informed modality decisions across the biologics landscape (antibodies
Design and oversee fit-for-purpose discovery packages
combining cell-based functional assays
biophysical characterization
and developability assessment.
Operate effectively in a matrixed pharmaiotech environment
partnering with Computational Biology
and Translational colleagues.
Manage externalised workstreams day-to-day: support CRO selection and oversee outsourced biologics production
in vitro pharmacology
Represent biologics drug discovery in project teams and pipeline communicate scientific progress
Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied.
Contribute to the development and continuous improvement of biologics discovery workflows and standard operating procedures.
Contribute to Relation’s scientific culture by mentoring junior scientists in biologics drug discovery
supporting publications and conference visibility.
How You'll Work.
Team & Collaboration
Work in highly interdisciplinary teams where biology, computation, and engineering come together.; Act as a senior individual contributor and technical authority on biologics drug discovery, working alongside our computational, ML, and translational teams.; Be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond.; Partner effectively across functions (e. g. CMC, DMPK, Toxicology, Computational/ML, Translational).; Operate effectively in a matrixed pharmaiotech environment.; Represent biologics drug discovery in project teams.; Communicate scientific progress, data, and risks clearly to project leadership and broader cross-functional stakeholders.; Partner with our ML and computational biology teams.; Contribute to Relation’s scientific culture by mentoring junior scientists.; Work in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains.; Partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities.
Communication Scope
Communicate scientific progress, data, and risks clearly to project leadership and broader cross-functional stakeholders.; Communicate openly and directly.; Give and receive feedback constructively.; Handle challenging conversations with respect.
Process & Methodology
Manage externalised workstreams day-to-day., Oversee outsourced biologics production, in vitro pharmacology, and in vivo studies, ensuring data quality and timelines.
Full Job Description
ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for an Principal Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will help shape how we choose targets, select modalities, design discovery cascades, and progress biologics candidates from early concept through to IND-enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a senior individual contributor and technical authority on biologics drug discovery, working alongside our computational, ML, and translational teams to translate biological insight into well-designed molecules with a credible path to the clinic. You will be a key technical
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