AI Policy Analyst
4 weeks ago
GlaxoSmithKline (GSK) is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. We are seeking a highly skilled AI Policy Analyst to join our team in London, UK.
About the Role:The AI Policy Analyst will play a key role in developing and implementing GSK's Responsible AI governance strategy. This includes identifying gaps between GSK's policy positions and the current legislative and regulatory frameworks in the UK, USA, and EU, as well as undertaking horizon scanning and landscape analysis to identify potential threats and opportunities arising from upcoming legislative, regulatory, or stakeholder proposals.
Key Responsibilities:- Develop evidence-based policy positions on key areas related to GSK's AIML strategy, including ethics, data, and safety initiatives.
- Develop and implement GSK's Responsible AI governance strategy.
- Identify gaps between GSK's policy positions and the current legislative and regulatory frameworks in the UK, USA, and EU.
- Undertake horizon scanning and landscape analysis in the UK, USA, and EU, with the aim of identifying potential threats and opportunities arising from upcoming legislative, regulatory, or stakeholder proposals.
- Work with colleagues in Government Affairs in the UK, EU, and USA to develop and execute strategies for effectively promoting GSK's policies in key jurisdictions.
- Respond to consultations from governments and other stakeholders, ideally by leveraging proactively drafted policy positions.
- Develop internal training materials and workshops in relation to the topics outlined above, including GSK's AIML Ethics Principles.
- Engage with AIML engineers and data scientists to gain a better understanding of policy enablers for key initiatives.
- Engage with AIML engineers to guide governance and ethics components of project development.
- Collaborate with academic fellows in GSK and at partner universities to deliver academic research on AI ethics and governance.
- Collaborate with external partners to develop long-term strategic policy initiatives.
- Bachelor's degree in public policy, public affairs, philosophy, politics, law, STEM, or other related discipline.
- History of strong academic performance.
- Experience navigating complex organisations requiring inter-departmental collaboration to achieve results.
- Strong oral and written communication.
- Comfortable working with engineers, data scientists, and other AIML researchers, many of whom have PhDs, to effectively translate technical concerns into language that is accessible to a broader public policy audience.
- Willingness to up-skill if necessary, by learning some AIML coding basics, to gain a better understanding of the broader team's work.
- Ability to work on fast moving issues, subject to significant ambiguity.
- Master's or advanced degree in relevant field.
- In depth experience understanding and influencing public policy debates.
- Experience working in healthcare, health data, or computer science.
- Skills or experience in coding or machine learning.
- Demonstrated experience managing and communicating with a range of stakeholders.
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