Vice President, Scientific Partnerships

present of AI; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Infera is seeking a senior-level pharma R&D partnerships leader to open and run relationships with large research organizations, from first contact through pilots to signed agreements. The role requires a developed executive network among R&D, process and data leaders, and the judgment to design pilots with measurable success.

Success comes from aligning lab software capabilities with procurement and IP conversations, and from explaining how AI can de-risk experiments while maintaining

Qualifications

• Seasoned pharma R&D leader with a robust executive network.
• Ability to move from first contact to pilots to partnerships.
• Experience guiding security, procurement and IP conversations.

Responsibilities

• Open and manage relationships with large research organizations from first contact through pilots to signed partnerships.
• Design pilots with clear success measures and governance.
• Collaborate with security, procurement and IP teams to secure favorable terms.

Skills

R&D leadership

Executive networking

Pilot design

Procurement process

IP conversations

Scientific credibility

Lab software familiarity

Tools

Lab software familiarity

Job description

Sales · San Francisco, CA, US / Boston, MA, US / Remote (San Francisco, CA, US; Boston, MA, US; Seattle, WA, US; Washington, DC, US; New York, NY, US; Tampa, FL, US; Lo · Contract · Senior level

The role asks for a seasoned pharma R&D leader to open and run relationships with large research organizations, moving from first contact through pilots to signed partnerships. A strong candidate brings a real network among R&D, process and data leaders, a grasp of how lab software and instrument budgets get approved, and the judgment to design pilots with clear success measures. Scientific credibility plus comfort guiding security, procurement and IP conversations matters more than sales background.

How it fits the AI era

AI shifts the work toward explaining what automation can and cannot do, since executives need help separating real capability from claims. The human core stays relational and scientific: earning trust with research leaders, framing pilots around reproducibility and data integrity, and reading which lab problems are worth solving. Field insight from these conversations feeds back to shape the product.

How it builds AI experience

Working here builds fluency in how natural language tools turn written protocols into instrument runs, and in judging where that fits regulated lab work. A candidate can strengthen this by studying protocol automation and data integrity needs in pharma R&D, and by practicing clear explanations of AI limits for executive audiences.

Worth showing

• Pharma R&D leadership
• Executive network
• AI versus hype judgment

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Infera

Infera develops a natural language experimental compiler that converts plain text biological protocols into executable instrument runs.

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