Biophysicist (Biologics Design), London
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
Your impact
Isomorphic labs are seeking a biophysicist to join a team capitalising on the potential of our platform in the design of macromolecule based therapeutics. This represents a significant opportunity to be part of a team shaping the future of generative de novo antibody and protein based therapeutics design.
This role would be ideal for an experienced biophysicist with significant working knowledge of biophysical assays involved in the characterisation of therapeutic antibodies and other biologics within the pharma/biotech arena.
This is an exciting opportunity to work closely with world leading AI, ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of the interactions of biologics designed by generative AI to drive our projects forward. You will play a pivotal role in defining the screening cascades for our biologic drug design projects, working with key internal and external stakeholders to progress these exciting projects in early Drug Discovery through to Candidate Selection and ultimately to Clinical Phase work.
You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a beginners' approach.
What you will do
- Deliver biophysical screening assays to support internal biologics portfolio programs
- Be a key point of contact for data analysis and interpretation, and relaying this information to the project team
- Liaise with external CROs/ partners to deliver defined work packages to support program progress
Skills and qualifications
Essential:
- At least a BSc in biology, chemistry or related discipline
- Experience of running diverse biophysical assays with a proven track record of designing and implementing assays for profiling biologics affinity and selectivity within pharma/biotech companies; including Experience with techniques such as SPR, Isothermal Titration Calorimetry, Differential Scanning Calorimetry, and Circular Dichroism and size exclusion chromatography
- Experience working in multidisciplinary large molecule drug discovery teams
- Solid working knowledge of the pro and cons of CROs that offer biologics based drug discovery biophysical assay services
- Excellent communications skills such that biophysical data and associated recommendations are clearly communicated to both experts and non-experts to facilitate testing and training of ML based model and project progression
Nice to have:
- Working knowledge of protein expression including membrane proteins for therapeutic biologics discovery
- Biology domain leadership within biologics drug discovery project i.e. can design and implement appropriate screening cascades from hit ID to Candidate nomination based on desired target product profile and good knowledge of targets and disease areas
- Experience of working in Immunology and oncology therapeutic areas preferably in the context of therapeutic biologics discovery
- Have worked in an industry partnership/collaboration
- Experience utilising or generating cryoEM data
![Isomorphic Labs](https://s4-recruiting.cdn.greenhouse.io/external_greenhouse_job_boards/logos/400/796/300/resized/Greenhouse_OpenGraph_(1).png?1697105647)
Isomorphic Labs
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
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