Welcome to GPI Global Pricing Innovations (GPI). Through the power of data analytics we provide high quality, curated insights and recommendations on global drug pricing and market access strategy for the pharma industry.

GPI is your trusted partner, leveraging technology to develop faster, agile, data-driven alternatives to traditional market access and pricing strategy research. Combined with our in-house market access consulting team, GPI are ideally placed to support:

> Competitive Landscaping & Business Intelligence

> Market Access & Pricing Strategy

> Value-Based Price Forecasting

> Payer Behaviour Insight

Overview

At GPI, data, a product in its own right, is also the foundation on which our high-value analytics and research is based. As an insights business we’ve identified a need for data science and advanced analytics to help develop our product roadmap to enable a more differentiated, and compelling set of services for our clients in the pricing and market access domain.

The Head of Data Innovation will bring data science and advanced analytics capabilities into GPI, developing strong relationships with various departments across the organisation to increase our ability to delight customers and take our products and services to the next level.

Responsibilities and Duties

• Establish a strategy for data science and associated capabilities on advanced analytics and AI technology to extract differentiating meaning from GPI data sets.
• Applying data science techniques to extract insights from our large, proprietary corpus of pricing and market access data.
• Utilising machine learning to augment our human intelligence and accelerate our data ingest processes and external insights provision
• Strong emphasis on automation and scalability from the outset
• Work alongside our software engineers to take models/analyses all the way to live, production systems.
• Explaining techniques used in plain, jargon-free language, to ensure the business (and sometimes clients) fully understand the benefits and any limitations.
• Staying abreast of new tools and techniques and applying them appropriately.
• Directly supporting the commercial team with the launch of GPI Horizon

Key Subject Matter / Technical Skills

• Foster an agile, high-performance, collaborative culture which is creative, open, supportive and dynamic with high levels of continuous improvement mind-set.
• Experience managing data through its lifecycle (especially sourcing, validating, and deploying).
• Experience with ETL and data manipulation tools helpful, such as Alteryx or managing other relevant systems.
• Experience with different types of databases, including structured and unstructured.
• Strong organizational and project management skills and ability to work across regions and cultures.
• Exceptional analytical, quantitative, problem-solving, and critical thinking skills
• Familiarity with advanced statistical techniques
• Experience developing and deploying machine learning models
• Highly proficient in at least one programming language with good data science support (e.g. Python, R, Matlab, etc.)
• Extremely strong written and spoken English

Qualifications

• Degree in Mathematics, Statistics, Engineering, or Data Analytics or related experience.
• Certifications in machine learning technologies

Personal Attributes

• A can-do attitude, proactive and always looking for opportunities to drive the organisation forward through collaborating with the rest of the team and our partners.
• Self-Driven to exceed expectations and able to inspire others along to perform at similar levels.
• An accomplished communicator at all levels of the business to technical and non-technical audiences alike. Able to adjust their messaging accordingly.
• Able to align tactical ambition with strategic business goals.
• An understanding of communication needs to the Executive team and other key stakeholders
• Customer focused mindset with a strong commercial awareness