Objective of the role: Airfinity is looking for a passionate Quantitative Analyst to join its predictive analytics function supporting the delivery of insights for our customers focused on infectious disease. Your role will be to forecast, risk assess and build predictive models for a number of indicators such as vaccine sales, pricing, output within infectious diseases.
The life science quantitative analyst is a key role within Airfinity that will develop a deep understanding of Airfinity data and use that to build world-class predictive models that will ultimately help key global decision makers save lives. The role holder will have the opportunity to work closely with clients to understand their business needs, including across Governments and Pharma departments. In this role, you will work cross-functionally with world-class data, research, analyst and software teams in order to transform large data into business-critical predictive insights. The role holder will not only develop models, but also take the initiative of anticipating and deriving key new insights that the market requires and will ultimately help shape the analytical direction of the business. You will be responsible for developing roadmaps and coordinating with relevant teams to implement models and deliver those to clients through the Airfinity product suite.
Develop predictive models relating to pharmaceuticals and infectious diseases
Turn science-related data into compelling medical and commercial insights for clients using a wide range of predictive modeling techniques
Understand the key questions that clients need answering and develop creative solutions to quickly and effectively solve their problems
Build forecasts ad risk assessment to aid decision makers’ strategy
Become the client facing expert lead within pharmaceutical forecasting
Deliver effective stakeholder presentations and demonstrations to optimise the value of Airfinity's solutions to clients
Coordinate and collaborate with colleagues to build vaccine and treatment forecasts for infectious diseases
Potential to also assume people management responsibilities over time
Skills and Qualifications:
Highly analytical and strong academic background in STEM with a passion for Life Sciences and how analytics can be used to save lives
Strong mathematical and statistical skills
Knowledge of predictive and risk based forecast modeling, including development and implementation
Able to work quickly in a fast-paced environment
Ability to distill complex ideas and models into understandable and actionable insights
Experience with either R or Python
Comfortable with large-scale libraries and working with different profiles (quants, IT, MO, Risk)
Ability to propose new design patterns and architectures with a strong emphasis on clean and ordered code with a focus on productisation.
Strong communication skills
Innovative and entrepreneurial approach to solving industry problems