This is a remote position.
Will be accountable for leading the AIML operations team, which compromises of various functions such as scientific communications, internal communications, data and risk management and operational oversight of the AIML team. This role collaborates closely with the leadership team to ensure seamless operations and integration with the broader company support, internal stakeholders, and adherence to internal AIML processes.
The ideal applicant will have spent time in startups and technology companies and have the cultural and management acumen to engage with and interact within the larger organisation. They will fit well with the culture and be adaptable to working across multiple time zones and location.
Ideal traits for this role include a familiarity of software development and the machine learning life cycle, couple with a genuine enthusiasm and preferably a background in biomedical science. A strong desire for fast paced environments and a commitment to flawless execution are also high valued characteristic.
They will act as “thought partner” t and provide appropriate challenge to improve delivery and effectiveness and will equip leaders with wise counsel and practical, pragmatic support, bringing excellent judgment, emotional intelligence, and relevant experience to bear on a constantly changing set of challenges and opportunities.
In addition, this role will:
- Lead and empower the operations team to identify and take ownership of all operational processes simplifying the processes for the AIML group
• Using coaching and mentoring, drive high performance delivery within the operational team and provide development opportunities to enable each team member to excel in their role
• Partners with Finance to deliver on budget plan and be overall accountable for the operational budget including the >£10M external data team budget
- Accountable for developing a communication strategy and implementing this to ensure the objectives and progress of the AIML team are clearly understood by the rest of the organisation• Partners with Human Resources (HR) to deliver on the people goal, enabling the HR strategy within the group
• Partners with peers in Research, Development, MDS and Vx to respond to emerging cross-enterprise requests and mandates and align activities across R&D groups where synergies enable increased efficiency to deliver department objectives
• Orchestrate complex initiatives and activities to support across the team and align activities across R&D groups where synergies enable increased efficiency to deliver department objectives
• Ensure the AIML has the appropriate processes in place to enable efficient ways of working with third parties and collaborators
• Partners with leadership team to develop and facilitate the execution of the team's culture and engagement plan.
• Partnership with CSO office to facilitate execution of R&D strategy
• Cultivate and build strong, positive relationships with other R&D teams, Business Units, and key stakeholders
• Accountable for the Risk strategy and ensure the AIML group is compliant aligning with enterprise risk council including leading Audits and Risk related KPIs
Requirements
Basic Qualifications:
• Software development and machine learning experience from a startup/technology company
• Degree level in Life Sciences, Business, or other relevant areas
• Strong leadership skills to build a cohesive, high-performing team, and to attract, recruit, maintain and develop top quality talent
• Proven exceptional delivery of leading operational activities within a fast moving and ambiguous environment
• Deep understanding of R&D and the key priorities and focus areas to help deliver on the R&D objectives
• Strong scientific acumen with the ability to understand key objectives and how they impact the wider goals
• Strong interpersonal skills with high emotional intelligence to be able to work across multiple and diverse stakeholders
• Excellent interpersonal, motivational and presentation skills are required alongside the demonstrated ability to function successfully in a team-oriented environment
• Strong logistics and organisation skills and the ability to operate independently and multitask, dealing with information at a variety of levels on large number of projects
• Consistent attention to detail, ability to deliver to demanding deadlines and at the highest quality
• Demonstrated learning agility to manage complexity and ambiguity
• Understanding of Risk Management and the application of the Internal Control Framework which includes risk identification, diagnosis, and monitoring
• Track record of success working in highly complex, global, and/or multi-disciplinary structures with high accountability and multiple lines of reporting
