Senior Associate

Faculty

Greater London

On-site

GBP 65,000 - 90,000

Full time

6 days ago
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Job summary

Faculty's Life Science team builds AI solutions to optimise research and commercialisation of therapies for pharma clients. This newly-created Senior Associate role scopes, builds and delivers end-to-end AI transformations, working with stakeholders to translate requirements into clear user stories.

You'll collaborate with data science, software engineering and delivery teams, maintain trusted client relationships, and contribute to internal thought leadership in a fast-paced, high-stakes

Qualifications

  • Experience delivering technical transformation projects in a consulting context.
  • Experience in Life Sciences or with Life Sciences clients.
  • Experience working with data science, ML or software engineering teams to scope and deploy solutions.
  • Strong analytical thinking and ability to communicate complex ideas clearly.
  • External client-facing experience with trusted relationships contributing to project success.
  • Familiarity with Agile methodologies and iterative delivery.

Responsibilities

  • Managing individual work streams to support delivery and implementation of bespoke AI solutions.
  • Working with Life Sciences stakeholders to understand mission challenges and user needs.
  • Conducting open-source analysis to support development of AI tools.
  • Translating complex operational requirements into actionable user stories for delivery teams.
  • Designing and testing workflows that support user-centric decision-making in high-stakes environments.
  • Collaborating with technical teams to ensure projects run smoothly and meet customer needs.
  • Contributing to internal thought leadership, strategy, and capability development.

Skills

Consulting experience
Life Sciences
Data science collaboration
Stakeholder management
Agile delivery

Job description

Why Faculty?


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.

About the team:

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.

About the role:

This is a newly-created role for an individual who wants to take the next step in their technology consulting career and wants hone their skills and knowledge of end-to-end AI transformation. As a Senior 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

What you'll be doing:
  • 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

Who we're looking for:
  • You have prior consulting experience delivering technical transformation projects

  • You've worked in a Life Sciences company, or with Life Sciences clients

  • You've worked alongside technical experts in Data Science / Machine Learning / Software engineering to scope, design and deploy a solution

  • 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

Our interview process:
  1. Talent Team Screen (40 mins)

  2. Introduction Interview (60 mins)

  3. Case Study Interview (60 mins)

  4. Interview with Business Unit Director (30 mins)

Our Recruitment Ethos

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.

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.

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