Account Development Specialist generating qualified meetings and RFP opportunities for Veristat’s life-sciences solutions. Supporting ABM campaigns, personalized outreach, lead progression, and target-account growth.
Responsibilities
Support Veristat’s account-based marketing strategy and help achieve growth and revenue targets.
Develop new accounts and assist with growth in existing target accounts.
Generate qualified meetings and drive new business opportunities to RFP.
Conduct personalized outreach via phone and electronic media.
Research accounts, prospects, and products to craft customized content communicating Veristat’s solutions and brand value.
Document activities and follow standard processes.
Assist with capabilities meetings, campaign outreach and follow-up.
Progress qualified leads.
Contribute to internal business initiatives, process improvements, and trainings.
Collaborate with Business Development, Marketing, and Account Development teams.
Requirements
Bachelor’s degree required.
2+ years of inside sales or sales experience required.
At least 2+ years of relevant clinical research organization (CRO) or life sciences experience preferred.
Proficient in Excel (including pivots, formulas, v-lookups, graphs), Outlook, LinkedIn, Web-browser, and search engine navigation.
Experience with database management in a CRM required; Salesforce preferred.
Must be a detail-oriented, analytical, and strategic thinker.
Ability to work independently as well as on a team.
Strong interpersonal and communication skills (written and verbal) required; must be comfortable interfacing with various levels of business contacts, including executives, with a high level of professionalism.
Strong prioritization capabilities, with an ability to see a task through to completion, despite other project demands.
Ability to effectively problem solve and maximize use of resources.
Comfortable making cold calls to prospective companies and possess proper phone etiquette.
Solid research capabilities, to gather information through web searches and other methods and summarize large volumes of data in a concise manner.
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