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Greater London, England, United Kingdom
Hybrid
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.
We partner with major pharma firms, academic research centres, biotechs and MedTech companies to design and deliver solutions which address critical healthcare challenges.
This is an exciting, new role, for an individual motivated to deepen their knowledge of AI transformation in life sciences. As an Associate, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for our pharmaceutical clients. We’ll look to you to build trusted client relationships, analyse requirements and feedback, stay on top of workflows and help to ensure our bespoke AI solutions are optimised for real-world operations.
#LI-PRIO
Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions.
Working side-by-side with life sciences stakeholders to understand critical mission challenges and user needs
Conducting open-source analysis to support the development of cutting-edge AI tools
Translating complex operational requirements into clear user stories for delivery and engineering teams.
Designing and testing workflows that support user-centric decision-making in high-stakes environments
Collaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needs
Contributing to internal thought leadership, strategy, and capability development across the team
You have some experience working on AI implementation/data intensive projects in a commercial setting
You've worked in a Life Sciences company, or with Life Sciences clients
You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information
You have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects
You understand Agile and related methodologies and the basis of iterative development and continuous delivery
You are thoughtful and proactive in ambiguous situations, keen to take initiative and own finding solutions to challenges
You’re excited and energised by the possibilities for innovation in life sciences!
Talent Team Screen (40 mins)
Introduction Interview (60 mins)
Case Study Interview (60 mins)
Interview with Business Unit Director (30 mins)
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
