Scientific Solutions Partner- Central US
TetraScience
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Benefits offered by this job
Job summary
TetraScience seeks a Scientific Solutions Partner to own full customer engagement, from discovery through close, targeting top pharma/biotech customers and leading technical solution design. You will drive POC and RFP efforts alongside a delivery manager, shaping strategic value propositions in a rapidly evolving scientific data platform space.
Applicants should bring deep life-sciences know-how, proven enterprise software sales experience, and the ability to travel ~25% to client sites.
Qualifications
- Bachelor’s degree in life science, chemistry, or engineering is required.
- 5+ years in scientific, technical, and commercial life sciences software or related fields.
- Experience in pharma/biotech/CRO and leading enterprise SaaS sales cycles.
- Proficiency with CRM and digital sales tools.
- Willingness to travel ~25%.
Responsibilities
- Lead scientific and technical engagement with customers.
- Design and present compelling solution architectures and use cases.
- Own RFP responses end-to-end and drive proof-of-value engagements.
- Maintain rigorous pipeline with forecasting and account health.
- Build relationships from individual contributors to executives and ensure smooth handoff to delivery.
Skills
Education
Tools
Job description
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience’s Scientific Data and AI Cloud is to have one person who can credibly do both — win the scientific and technical confidence of the customer and manage the commercial relationship to close. No separate Account Executive needed. This is not a traditional Account Executive role with a presales overlay. The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remains accountable for the account’s health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts. You will work with the world’s largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives. TetraScience provides its SSPs with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team.
- Lead technical discovery: understand the customer’s current lab data landscape — instruments, data formats, informatics stack, and data science ambitions
- Design and present compelling solution architectures aligned to the customer’s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals
- Always be leading with demo's of actual software aligned to the customers main value levers
- Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities
- Own RFP technical responses end-to-end, synthesizing 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
- Stay 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
- Prospect, qualify, and build territory pipeline 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
- Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)
- Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership
- Build and expand relationships across the customer organization, from individual contributors to executive sponsors
- Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts
- Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context
- Represent TetraScience at industry conferences, seminars, and customer events as a 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
- A Bachelors in a life science, chemistry, or engineering discipline required. A MS or PhD is highly preferred; equivalent practical experience considered
- 5+ 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 — either as a scientist, scientific software professional, or sales/solutions professional serving these customers
- Demonstrated ability to lead 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, MEDDPIC, Force Management, or similar)
- Strong executive presence — equally compelling in a whiteboard architecture session and a C-suite business case conversation
- Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent)
- Ability to travel (approximately 25%) to client sites within assigned region
- 100% employer-paid benefits for all eligible employees and immediate family members
- Unlimited paid time off (PTO)
- 401K
- Company paid Life Insurance, LTD/STD
- The salary range for this position is $120K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity
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