Ginkgo Bioworks

Ginkgo Bioworks

Director, Government Partnership Development

Remote, US · Director · Contract

No sponsorship$170k-$274kDetected 62 days ago
Machine LearningCybersecurityProject ManagementSalesBusiness DevelopmentBudgetingSupply ChainRoboticsPublic HealthResearchLeadership

About the role

  • Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more.
  • Ginkgo Bioworks is a publicly-traded biotech company that is redesigning the living world to solve some of the globe's most-pressing challenges in health, materials, energy, sustainability, food, and more.
  • We're seeking an experienced, passionate, and collaborative Director, Government Partnership Development to join our Government team.

Responsibilities

  • Lead the sales cycle for Ginkgo's automation products and services (RACs and RAC software) to wet labs within USG agencies, specifically targeting HHS and DoW.
  • Create and shape business opportunities with the HHS, DOW, and other OneHealth-focused Government agencies, as well as with leading private sector government-focused entities, via both teaming efforts and direct sales, with a focus on top of the funnel activities
  • Lead Gov-funded pharma pipeline development and management activities
  • Build a core set of strategic partnerships with industry, academic, and nonprofit organizations
  • Provide feedback/inputs to technical teams to support the development of new services/offerings and automation product features based on customer feedback.
  • Work jointly with Ginkgo's U.S. Government partners to identify and scope out new project opportunities where Ginkgo is uniquely positioned to act as a valuable partner
  • Collaborate with partners to understand their program objectives and desired capabilities, including automation needs, and ensure that this context is incorporated into Ginkgo's project scoping and delivery
  • Support the development of technical proposal materials and ensure the customer's needs are incorporated
  • Support proposal development activities including writing content and participating in reviews
  • Scout for complementary partners, collaborators, and technologies and establish teaming relationships with them

Requirements

  • Bachelor's degree with minimum of 8-10 years of relevant work experience in U.S. Government business development and acquisition
  • Experience with complex deal structures
  • Ability to work effectively with cross-functional teams and mobilize people across the organization, and to learn quickly and thrive in a fast-paced environment
  • Master's degree or PhD in science or technical field
  • Previous experience with federal sales of lab automation equipment, specifically fully automated platforms, robotics, or liquid handling systems, to Government and/or commercial wet labs.
  • Actual pay within this range will depend on a candidate's skills, expertise, and experience.

Nice to have

  • Preferred Capabilities and Experience
  • Washington, DC Metro Area
  • or Emeryville, CA (preferred).

Compensation

  • The base salary range for this role is $170,100 - $273,500.

Benefits

  • 10+ years experience working with medical USG advanced developers

Company info

  • you're excited about Ginkgo and eager to help us achieve our mission of making biology easier to engineer.
  • Plans and implements business development strategy for HHS, DOW, and related government agencies to drive bookings growth within the federal market and expand Ginkgo's brand awareness and influence among Government customers
  • Our mission is to make biology easier to engineer.
  • Our mission to "make biology easier to engineer" is poised to disrupt multiple industries by leveraging our innovative automation, data, and scale capabilities in biological engineering.

Visa & Work Authorization

  • Ability and willingness to obtain a US security clearance at the Secret designation or above

This listing is sourced directly from Ginkgo Bioworks's careers page and normalized into a canonical job model.