Lead Analyst (Cardiovascular/Renal/Metabolic)

We are seeking a Lead Analyst to manage our Cardiovascular analyst team, who will play a critical role in providing critical analysis and informatic services to clients. Your insights and output will inform critical decision-making by clients across multiple sectors including, for government, public health, pharmaceutical, medtech, investor and other business sectors. The role holder will help develop our Cardiovascular/renal/metabolic disease analytics across competitive intelligence, commercial and disease outcomes identifying key questions for clients in order shape analysis and always aim to pre-empt the impact changes and new data within the space. 

Key Responsibilities:

• Lead the Cardiovascular analytics team to turn science related data into clear insights into written and oral analysis for clients.
• Become the client facing expert lead within cardiovascular/renal/metabolic diseases
• Develop and implement data analysis strategies to drive insights and recommendations for clients.
• Manage project timelines and deliverables to ensure projects are completed on time and within budget.
• Deliver effective stakeholder presentations and demonstrations to optimise the value of Airfinity's solutions to clients
• Build and maintain relationships with clients to ensure ongoing satisfaction and engagement.
• Work closely with other disease area leads to ensure alignment across the infectious disease team and wider business.
• Identify opportunities for business growth and develop strategies to expand the team's offerings.
• Mentor and coach team members to develop their skills and foster their professional growth.

Requirements

• Experience in data analytics or consulting in the life science industry, ideally in the cardiovascular/renal/metabolic disease space
• At least a doctorate degree (or equivalent level of experience) in life sciences, data science or statistics.
• Strong analytical skills with proficiency in statistical analysis and data visualisation tools such as Excel, R, or Tableau.
• Excellent analytical skills and attention to detail to effectively scrutinize scientific results and publications with the capability to produce predictive analytics.
• Good communication and leadership skills to efficiently lead an interdisciplinary team.
• Strong project management skills, including the ability to manage multiple projects simultaneously.
• Experience presenting to clients, including C-suite, and key stakeholders.
• Capability to work in a fast-paced environment with a high standard of output

Benefits

• Hybrid and agile working environment - flexibility over how, where and when you work. Choose your days in the office from week to week to suit your life/work balance
• 25 days holiday allowance (plus bank holidays) – ability to roll holiday
• Private medical insurance
• Enhanced maternity and paternity leave
• Learning & Development Budget for each employee
• Opportunity to work overseas for some parts of the year