Scientific Solutions Consultant

This role is designed to combine scientific and technical expertise with commercial acumen, managing the entire customer engagement lifecycle for scientific data and AI cloud solutions. This position is responsible for building trust with clients, designing tailored solutions, and driving account growth and renewals, while leveraging advanced AI-powered tools to maximize efficiency and impact.

Responsibilities:

• Lead technical discovery sessions to assess client laboratory data environments, including instruments, data formats, and informatics systems.
• Design and present solution architectures that address specific scientific use cases and data management challenges.
• Conduct software demonstrations aligned with client value drivers and scientific objectives.
• Drive proof-of-concept and proof-of-value engagements, collaborating with scientific data architects to showcase platform capabilities.
• Manage end-to-end RFP technical responses, integrating platform features and customer requirements into compelling submissions.
• Prospect, qualify, and build a robust pipeline, managing the full sales cycle from discovery to contracting using modern sales methodologies.
• Identify and close expansion opportunities within existing accounts, ensuring smooth transitions from sales to delivery and maintaining account health.
• Represent the organization at industry events, contribute market insights to internal teams, and help develop impactful content such as case studies and solution briefs.

Qualifications:

• Bachelor’s degree in life science, chemistry, or engineering required; MS or PhD 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 related fields.
• Experience in pharma, biotech, or CRO/CDMO settings as a scientist, scientific software professional, or sales/solutions specialist.
• Proven ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design, execution, and RFP management.
• Strong understanding of laboratory workflows, scientific data formats, instrument connectivity, and data harmonization processes.
• Familiarity with modern sales methodologies such as MEDDIC, MEDDPIC, or Force Management.
• Excellent executive presence and communication skills, effective in both technical and business discussions.
• Proficiency with CRM and digital sales tools (e.g., Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or similar).
• Willingness and ability to travel up to 25% within the assigned region.