The company is looking to solve the business problem of advising clients on business strategy through data-driven decision-making and developing innovative solutions to complex business challenges through data and AI in the Pharmaceutical industry.
Requirements
- Experience in Life Sciences data analytics (minimum of 10 years)
- Working knowledge of Pharmaceutical data sets such as claims data, prescription data, lab data, change/content data, engagement and experience data
- Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)
- Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)
- Practical application of AI/ML/NLP use cases in the Life Sciences business
- A GenAI pioneer, with experience of LLMs in Pharma
- Extensive experience in project work planning and client management
Responsibilities
- Advising clients on business strategy through data-driven decision-making
- Leading project teams and developing innovative solutions to complex business challenges through data and AI
- Building and enhancing existing Pharma client relationships
- Overseeing the delivery of DnA/AI projects
- Managing a global team of data scientists and business analysts to support client projects
- Developing intellectual thought leadership for the company
- Developing and enhancing practice areas within the firm
Other
- Successful history of people and team management through mentorship, knowledge sharing, and leadership
- Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation
- Proposal development
- Participation in industry thought leadership
- Preferred home office in New York City or Boston
- Industry competitive total rewards programs
- Exceptional senior partner mentorship, leadership training and career development support
- Industry competitive benefits
- Hybrid working model
