Senior Associate at Faculty | GB | Rezi

Senior Associate at Faculty

Senior Associate

Faculty · GB

1 months ago

Senior Associate

Faculty · GB

a month ago
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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 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 pharmaceutical clients. You will build trusted client relationships, analyze requirements and feedback, stay on top of workflows, and help ensure bespoke AI solutions are optimized for real-world operations.

Responsibilities

  • Manage individual work streams to support the successful delivery and implementation of bespoke AI solutions.
  • Work side-by-side with life sciences stakeholders to understand critical mission challenges and user needs.
  • Conduct open-source analysis to support the development of cutting-edge AI tools.
  • Translate complex operational requirements into clear user stories for delivery and engineering teams.
  • Design and test workflows that support user-centric decision-making in high-stakes environments.
  • Collaborate closely with technical teams to ensure projects run smoothly and solutions meet customer needs.
  • Contribute to internal thought leadership, strategy, and capability development across the team.

Requirements

  • Prior consulting experience delivering technical transformation projects.
  • Experience working in a Life Sciences company or with Life Sciences clients.
  • Experience working alongside technical experts in Data Science / Machine Learning / Software engineering to scope, design, and deploy a solution.
  • Demonstrate analytical thinking, clear communication of ideas, and synthesis of complex information.
  • External client-facing experience and a track record of building trusted relationships that contributed to project success.
  • Understanding of Agile and related methodologies, including the basis of iterative development and continuous delivery.
  • Thoughtful and proactive in ambiguous situations, with a keenness to take initiative and own finding solutions to challenges.

Skills

  • AI transformation
  • Client relationship management
  • Requirements analysis
  • Workflow management
  • AI solution optimization
  • Data Science
  • Machine Learning
  • Software engineering
  • Analytical thinking
  • Communication
  • Information synthesis
  • Agile methodologies
  • Iterative development
  • Continuous delivery

Work Type

  • Part-time hours considered

Experience Level

  • Senior Associate

About the Company

  • Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
  • Faculty has worked with over 350 global customers to transform performance through human-centric AI.
  • Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
  • Faculty possesses unparalleled depth of technical, product, and delivery expertise.
  • Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
  • Faculty's Life Science's team focuses on building AI solutions to optimize the research and commercialization of life-changing therapies.
  • Faculty partners with major pharma firms, academic research centers, biotechs, and MedTech companies.
  • Faculty's mission is to address critical healthcare challenges through AI solutions.

Equal Opportunity

  • Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
  • Faculty believes that diverse teams deliver better work relevant to the world.
  • Faculty is united by a deep intellectual curiosity and a desire to use abilities for measurable positive impact.
  • Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
  • Faculty encourages applications even if not all requirements are met, especially if key strengths are brought.
  • Faculty is open to conversations about part-time hours.
  • Faculty permits the use of AI for research and interview preparation but not for generating answers during live interviews.
  • Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt-out.
  • Every application is reviewed by a human, never decided by AI.