Turbine
Turbine
Turbine is a biotechnology company applying artificial intelligence to virtualize biological experiments for drug research and development. Its Virtual Lab (vLab) simulates experiments at scale to help biopharma teams investigate oncology targets, antibody-drug conjugates, treatment combinations, biomarkers, and clinical positioning. The platform draws on public and proprietary biological datasets and supports both self-serve and custom workflows, with wet-lab validation used to refine predictions. Turbine’s work is intended to help partners make more informed R&D decisions as they assess potential therapies.

Director of Business Development, Biopharma AI

Lead sales of Turbine’s AI-powered Virtual Lab and Virtual Assays to biopharma companies, from opportunity development through contract close. Build commercial agreements that can grow from initial projects into broader enterprise relationships.

Description

  • Identify and close new commercial opportunities with pharmaceutical and biotechnology companies.
  • Lead the full sales cycle, from outreach and qualification through solution development, proposals, negotiation, and signature.
  • Build qualified pipeline through targeted prospecting, industry relationships, inbound leads, conferences, and marketing initiatives.
  • Develop relationships with scientific, computational biology, technology, and R&D decision-makers.
  • Connect customer needs to value propositions for Turbine’s Virtual Lab products and Virtual Assays.
  • Grow project and screening engagements into broader customer relationships and potential enterprise licenses.
  • Create and execute account plans for priority pharmaceutical and biotechnology customers.
  • Expand initial projects into enterprise licenses and sustained platform adoption.
  • Engage senior customer stakeholders and executive sponsors in complex sales opportunities.
  • Structure and negotiate commercial agreements.
  • Partner with Product, Scientific, and Delivery teams to define customer needs, scope, deliverables, and value.
  • Prepare business cases and pricing proposals, assessing deal economics, risks, and strategic value.
  • Coordinate Legal, Finance, Product, and Delivery teams through contract execution.
  • Keep Turbine’s CRM current with pipeline records, forecasts, and customer interactions.
  • Monitor sales stages and use pipeline analytics to improve performance.
  • Follow pharmaceutical R&D priorities and trends in AI drug discovery, virtual biology, and computational R&D.
  • Identify promising customer segments, therapeutic applications, and market opportunities.
  • Share customer and market insights to inform product development, positioning, pricing, and commercial strategy.
  • Work with Marketing, Product, and Scientific teams on presentations, sales materials, case studies, campaigns, and technical evaluations.
  • Represent Turbine at industry conferences, scientific meetings, and executive engagements.

Requirements

  • Master’s degree or higher in a life science or closely related scientific field.
  • At least 7 years of relevant commercial experience in business development, enterprise sales, or strategic account development in biopharma, drug discovery, or scientific technology.
  • Understanding of AI and machine learning technologies used in pharmaceutical research and drug discovery.
  • Experience in or close collaboration with drug discovery or early-stage drug development organizations.
  • Track record selling scientific technologies, AI-enabled platforms, software, or services to pharmaceutical R&D stakeholders.
  • Ability to independently originate, structure, negotiate, and close complex commercial agreements.
  • Record of meeting or exceeding individual sales targets.
  • Experience growing initial customer engagements into broader enterprise licensing relationships.
  • Strong knowledge of the biopharma R&D ecosystem, including technology, data, and service providers.
  • Experience building business cases, evaluating deal economics, and structuring commercial proposals.
  • Strong pipeline management, forecasting, and CRM skills.
  • Excellent written and verbal communication, including explaining complex scientific concepts and business value.
  • Ability to independently develop strategic account plans and manage multiple customer stakeholders.
  • Ability to collaborate with and influence Product, Scientific, Delivery, Legal, and Finance teams.
  • Willingness and ability to travel up to 30%.
  • Established network in pharmaceutical R&D, computational biology, translational research, or drug discovery.
  • Experience selling AI-enabled drug discovery platforms, computational biology solutions, or scientific software.
  • Experience structuring complex enterprise technology or platform licensing agreements.
  • Familiarity with pharmaceutical R&D procurement, contracting, and technology evaluation.
  • Experience turning initial scientific projects into multi-program enterprise licenses and long-term platform partnerships.
  • Experience using HubSpot or a comparable CRM.
  • Experience in a high-growth, venture-backed biotechnology or technology company.

Benefits

  • A $410 home-office allowance to spend during your first six months on equipment such as a desk, ergonomic chair, or router.
  • 401(k) plan with company match.
  • Medical, dental, and vision coverage options.
  • 20 paid vacation days per calendar year, accrued each pay period.
  • 8 paid sick days per calendar year.

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