Director, Scientific Solutions

🕒 vor 1 Monat

🏖️ New Jersey, New York, +1 weitere Bundesländer – Remote

🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

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TetraScience

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51 - 200 Mitarbeiter

Gegründet 2015

🏥 Gesundheitswesen

💼 Beratung

📦 Logistik

Healthcare • Consulting • Logistics

TetraScience ist ein Unternehmen, das sich der Umwandlung von Rohdaten aus der Wissenschaft in AI-nahe Datensätze für fortschrittliche wissenschaftliche Anwendungen widmet. Durch die enge Zusammenarbeit mit führenden biopharmazeutischen Unternehmen steigert TetraScience die Produktivität, beschleunigt Erkenntnisse und gewährleistet die Datenintegrität entlang der wissenschaftlichen Wertschöpfungskette. Ihre Plattform bietet Lösungen für das Datenmanagement der nächsten Generation im Labor, AI-gesteuerte wissenschaftliche Ergebnisse und die Einhaltung von Industriestandards. Als erstes Unternehmen, das eine speziell für die Wissenschaft entwickelte Daten- und AI-Cloud bereitstellt, ermöglicht TetraScience seinen Kunden, ihre Daten zu befreien, zu vereinheitlichen und zu transformieren, um traditionelle Datensilos zu überwinden und die wissenschaftliche Produktivität durch eine flexible, offene und kollaborative Infrastruktur zu steigern.

Beschreibung

• Help to hire, develop, and retain a high-performing team of Scientific Solutions Partners; set clear performance expectations and coach to both scientific credibility and commercial rigor • Establish and reinforce the operating cadence of the team — pipeline reviews, deal inspection, forecasting discipline, and account planning • Coach team members through complex, technical, multi-stakeholder sales cycles, modeling best practice on your own strategic accounts • Serve as an escalation point and executive sponsor for the team’s most important customer relationships and competitive situations • Foster a culture aligned to The Tetra Way — scientific depth, customer obsession, accountability, and high standards • Personally lead technical discovery on strategic accounts and raise the bar for how the team understands each customer’s lab data landscape — instruments, data formats, informatics stack, and data science ambitions • Design and present compelling solution architectures aligned to specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets), while ensuring the team can do the same • Champion leading with demos of actual software aligned to each customer’s main value levers • Direct and quality-assure proof-of-concept and proof-of-value engagements across the team, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities • Own RFP technical strategy end-to-end for marquee opportunities, and set the standard for how the team synthesizes platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions • Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes • Keep the team current on the scientific and informatics landscape — relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development • Own the territory commercial strategy and number; build and manage a rigorous, accurate team pipeline with consistent forecasting and visibility to leadership • Personally prospect, qualify, and close strategic flagship accounts while driving the team’s broader pipeline generation in alignment with the TetraScience go-to-market strategy • Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts — directly and through the team • Manage and coach the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPICC, Force Management, or similar) • Build and expand relationships across customer organizations at the most senior levels, from individual contributors to C-suite executive sponsors • Partner with Delivery Management to ensure smooth handoff from sales to delivery and continuity of scientific context across the team’s accounts • Represent TetraScience at industry conferences, seminars, and customer events as a senior, scientifically credible voice • Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging • Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category and enables your team

🎯 Anforderungen

• Advanced degree in a life science, chemistry, or engineering discipline preferred (MS or PhD); equivalent practical experience considered • 12+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains • Demonstrated leadership experience — managing, coaching, or formally leading sales/solutions professionals, or strong evidence of player-coach leadership and the readiness to build and run a team • Proven track record of personally owning and closing enterprise deals while elevating the performance of others around you • Direct experience in pharma, biotech, or CRO/CDMO environments — as a scientist, scientific software professional, or sales/solutions professional serving these customers • Demonstrated ability to lead and coach complex technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership • Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze • Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets • Experience with modern sales methodologies (MEDDIC, MEDDPICC, Force Management, or similar) and the ability to instill them across a team is very useful but not essential • Strong executive presence — equally compelling in a whiteboard architecture session, a C-suite business case conversation, and an internal leadership forum • Ability to travel (approximately 30%) to client sites within assigned region

🏖️ Vorteile

• 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements - Remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching