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Job Location | London |
Education | Not Mentioned |
Salary | £150,000 - £275,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time Work from home |
Your new companyThis company developed a proprietary AI driven small molecule drug-discovery platform that has been nominated as one of the top breakthroughs in the biopharma industry, focusing on developing innovative drug pipelines (difficult-to-drug molecular targets).Off the back of multiple fundraising rounds, raising tens of millions of dollars, we are establishing a global R&D centre in the UK and are looking for experienced, highly motivated scientists to join us as a Director / VP / SVP / Head of AI at a key momentin our history.The company is led by academics of the British Royal Society, a former CTO from a listed AI healthcare company, R&D experts from top pharma companies and global AI competition winners, bringing deep expertise from successful drug development programs and generatingtop publications including in top-tier journals such as Nature, Science, and Cell.Our proprietary drug pipeline focuses on therapeutics in multiple disease areas - our first AI-designed small molecule drug has entered the clinic and recently started Phase 2a trials - and the company has a number of co-development and strategic partnershipsin place with other public traded biotech and pharma companies.Your new roleLeading our AI and informatics team to develop and optimise our approaches and methods, with a particular focus on developing innovative algorithms for drug discovery. In partnership with our CEO, our medchem and CADD teams and our AI algorithm team, your experiencewill help to complete project implementation, providing scientific excellence to influence and impact upon our drug discovery programs.You will be a key part of the leadership team and have an active influence on research strategy as well as shaping the department as the company goes into its next phase of growth.Other responsibilities will include:
Keyskills :
sciencechemistrylearningdatabiologyR&DpharmaceuticaldevelopmentresearchmachineinteractionintelligencebioinformaticsdrugproteinbiotechdiscoverynetCADDgraphartificialdeepneuralcomputationalallosteric