Company: Airfinity is a leading provider of data and analytics solutions in the pharmaceutical industry, helping clients understand disease landscapes, predict demand, and improve outcomes in different infectious disease spaces.

Objective of the role: We are seeking a Lead Analyst to manage our Cardiovascular analyst team, who will play a critical role in providing 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.

Skills and Qualifications:

• 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.