Scientific Solutions Partner

Responsibilities

Scientific & Technical Engagement

• Lead technical discovery of customers’ lab data landscapes, including instruments, data formats, informatics stacks, and data science ambitions.
• Design and present solution architectures for scientific use cases such as ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, and AI training datasets.
• Demonstrate software aligned with customers’ primary value levers.
• Own proof-of-concept and proof-of-value engagements with scientific data architects.
• Own RFP technical responses end to end.
• Explain bronze, silver, and gold medallion data architecture in scientific and business terms.
• Stay current on assay workflows, instrument vendors, SDMS, ELN, LIMS, analytical software integrations, and AI/ML use cases in drug discovery and development.

Commercial Ownership

• Prospect, qualify, and build territory pipeline.
• Identify and close expansion opportunities across labs, instruments, geographies, sites, and use cases.
• Manage the full sales cycle from discovery through contracting using modern sales methodologies such as MEDDIC, MEDDPIC, or Force Management.
• Maintain accurate pipeline forecasts and leadership visibility.
• Build relationships from individual contributors through executive sponsors.
• Partner with the Delivery Manager to ensure a smooth sales-to-delivery handoff.

Market & Thought Leadership

• Represent the company at industry conferences, seminars, and customer events.
• Contribute customer and market insights to product, marketing, and science teams.
• Help develop case studies, solution briefs, and demo narratives.

Requirements

• Advanced degree in life science, chemistry, or engineering preferred; equivalent practical experience considered.
• 7+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains.
• Direct experience in pharma, biotech, or CRO/CDMO environments.
• Experience leading technical sales cycles in enterprise SaaS or scientific software, including proof-of-concept design and execution and RFP ownership.
• Deep familiarity with laboratory workflows and scientific data.
• Fluency with file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets.
• Experience with modern sales methodologies.
• Strong executive presence in technical architecture and business case discussions.
• Proficiency with CRM and digital sales tools.
• Ability to travel approximately 25% to client sites within the assigned region.

Benefits & Compensation

• Competitive salary and equity.
• Supportive, team-oriented culture of continuous improvement.
• Generous paid time off.
• Flexible working arrangements and remote work.
• Visa sponsorship is not currently provided.