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AI Demand Generation, Outreach Specialist
Sapient. Build and run AI-assisted outbound campaigns that generate qualified meetings for the CSO and business development team across Sapient's discovery proteomics, metabolomics, targeted protein assay and FFPE tumor proteomics services .
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Build and run AI-assisted outbound campaigns that generate qualified meetings for the CSO and business development team across Sapient's discovery proteomics, metabolomics, targeted protein assay and FFPE tumor proteomics services
- Map each service line to the right scientific personas and develop specific messaging for translational medicine, biomarker, clinical development and target discovery leaders at pharma and biotech companies
- Build targeted prospect lists from conference and professional-network data, screening them against CRM history and do-not-contact lists
- Write and edit outreach copy, web content and case studies with the science team
- Quality-control campaigns and manage sequences, schedules, sender mailboxes and test sends
- Qualify campaign replies, answer straightforward questions, book meetings and follow through on conversations
- Improve online discoverability through SEO, structured and machine-readable content, and generative engine optimization
- Set up tracking and attribution, publish the monthly outreach performance dashboard and maintain the campaign calendar
- Test outreach variables and turn results into targeting recommendations
- Support conference and trade show presence and event follow-up campaigns
- Maintain accurate contact, response and qualified-lead records in Dynamics CRM
- Improve the outreach pipeline through script, prompt and documentation updates and document repeatable practices
Requirements
What you’ll need- BS or BA in a life science field (biology, biochemistry, bioengineering or similar), or equivalent practical exposure to the life science industry
- 1 to 3 years' experience in marketing, sales development, communications or another commercial role in life sciences
- Fluent, daily use of AI assistants such as Claude or ChatGPT, with the discipline to verify output against the source
- Comfortable with technology, including running scripts, editing CSV and configuration files, and using git and GitHub; formal software engineering experience is not required
- Working knowledge of how drug development is organized and what translational and biomarker teams care about
- Strong marketing and commercial instinct
- Clear, concise writing and confidence communicating with senior scientists by email and phone
- Highly detail oriented with strong follow-through
- Resilient, self-motivated and comfortable with ambiguity in a fast-paced environment
- Sound judgment handling confidential prospect data, CRM exports and executive sending accounts
- Spreadsheet fluency (Excel or Google Sheets) and working knowledge of SEO fundamentals
- Experience with campaign or prospecting platforms, analytics tools, a CMS, a CRM or Python is preferred but not required
Benefits
Comp & perks- $10,000 variable component tied to qualified meetings created
- Opportunity for career development and growth