Solution Sales Specialist, Medidata AI

United Kingdom, Hammersmith
CDI
9/24/2024
541185

About the Company:

Medidata: Powering Smarter Treatments and Healthier People

Medidata, a Dassault Systèmes company, is leading the digital transformation of life sciences, creating hope for millions of people. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes. More than one million registered users across 2,000+ customers and partners access the world's most trusted platform for clinical development, commercial, and real-world data. Known for its groundbreaking technological innovations, Medidata has supported more than 30,000 clinical trials and 9 million study participants. Medidata is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at www.medidata.com and follow us on LinkedIn, Instagram, and X.

About the Team:

The Sales Specialist, Medidata AI (Value Discovery Engine, Intelligent Trials) sales will work closely with the Medidata AI Leadership Team and Sales leaders as well as Sales Account Managers. This is a sophisticated data and analytics solutions sales role focused on solving pressing issues for life science companies performing clinical trials. This position will report to the Vice President Sales.This position requires a poised and seasoned self-starter who can execute with minimal direction as well as take initiative; a builder who can create strong working relationships, processes and outcomes; adept at working in a fast-paced and dynamic environment.

Responsibilities:

Use Competitive Intelligence to understand the strategic direction of clients and align/propose how Medidata AI solutions can help them achieve those goals.

Professionally prepare for meetings, document outcomes, vision and proposals for use with executives

Comfortable dealing with and presenting to C Suite level executives on business outcomes as well as data and analytics, machine learning and AI solutions and approaches

Contract and negotiations of complex arrangements including co-sell and risk based agreements

Broaden the awareness and understanding and opportunity creation for Medidata AI working closely with Account Managers

Drive increased pipeline of opportunities and therefore successfully meet quarterly, half and annual sales objectives

Qualifications:

Demonstrated knowledge and experience with data, analytics, machine learning, AI and platforms for cloud

Knowledge of clinical trials, clinical research and the life sciences industry dynamics and issues

Strong sense of customer focus, being able to meet needs of internal and external customers, understanding customer requirements and responding appropriately in line with business objectives

A creative, analytical and intuitive marketer with strong attention to detail.

Executive presentation skills

Self-motivated and directed with ability to work autonomously on individual projects as well as in a team

An effective communicator with experience leading teams and influencing stakeholders

Willingness to travel

Related experience, with knowledge and experience in the life sciences industry - especially in the clinical development area, preferred

Déclaration de diversité

Dassault Systèmes, avant-gardiste en matière de technologie et d’innovation durable, s’efforce de créer des équipes toujours plus inclusives et diverses à travers le monde. Nous avons la forte conviction que nos employés sont notre atout numéro 1 et nous voulons que tous, se sentent libres d’être pleinement qui ils sont vraiment. Notre objectif est qu’ils ressentent fierté et sentiment d’appartenance. En tant qu’entreprise à la pointe du changement, il nous incombe de favoriser l’inclusion de tous et participer à création du monde de demain.
MEDIDATA Logo > Dassault Systèmes

Générer des preuves et des informations pour aider les sociétés pharmaceutiques, biotechnologiques, de dispositifs médicaux et de diagnostics, ainsi que les chercheurs universitaires, à générer de la valeur plus rapidement, à réduire les risques et à optimiser les résultats.