Establishing, building, and evolving relationships with senior leaders at biopharma companies
Collaborating with Labcorp teams including Sales, Marketing, Medical Affairs, and Legal teams to identify, prioritize and execute partnerships
Structuring and negotiating partnership agreements, including in cases where a creative and novel approach is required due to unique client needs
Supporting development of partnership models and go-to-market strategies based on customer needs, business performance, market dynamics and competitive landscape
Leverage Salesforce.com and other data sources for commercial sales metrics and customer management
Lead cross functional projects with various leaders throughout the division and company
Provide salesforce with support including training, market intelligence and actionable reporting
Serve as a subject matter expert for various sales tools for the divisional salesforce
Help with the planning, coordination, and execution of divisional events
Requirements
Bachelor’s in life sciences required; Advanced Degree in life sciences field preferred
5+ years of experience in relevant business development roles, preferably focused on biopharma, genetics, or data/analytics
Multiple Sales Award Winner with a track record of success
Ability to act as a resourceful, strategic, and analytical thinker, and critical problem solver
CRM-based pipeline management experience
Proven success with new product launches and driving new business in a highly competitive and complex market
Demonstrated success working in a highly matrixed environment with the ability to influence stakeholders
Eagerness to explore the scientific, medical, and commercial applications of genetic and clinical data
Strong executive presence, customer-focused orientation, and exceptional judgment to ensure diverse client needs are addressed amidst an unstructured environment
Excellent written and oral communication skills that enable delivering complex concepts in a simple and compelling way
Analytical mindset with experience in data analysis, reporting, and identifying the “so what” behind the data