Staff Sales Engineer (Life Sciences)

Accountabilities: You will partner with commercial teams to drive the technical sales cycle for life sciences clients, translating complex healthcare data solutions into clear business value. You will lead product demonstrations, presentations, and technical deep dives tailored to customer needs and use cases. You will serve as a trusted technical advisor throughout the sales process, including explaining real-world evidence methodologies, cohort generation, and analytical approaches. You will help articulate ROI, pricing value, and solution impact to stakeholders across pharmaceutical and biotech organizations. You will collaborate closely with product and engineering teams to relay customer feedback and influence product direction. You will also support industry engagement through events, conferences, and customer-facing sessions to expand market awareness.

• Partner with sales teams on end-to-end technical selling for life sciences accounts
• Deliver tailored demos and presentations highlighting product value and use cases
• Act as a technical expert on real-world evidence, healthcare data, and analytics workflows
• Support ROI discussions, pricing positioning, and value articulation for customers
• Gather and translate customer feedback to inform product and engineering decisions
• Engage in external events and industry forums to promote solutions and build relationships

Requirements

You bring extensive experience in healthcare, life sciences, consulting, or pharmaceuticals in customer-facing roles, with a strong foundation in real-world data and analytical environments. You are highly proficient in SQL, with additional programming skills such as Python or R considered a plus. You understand healthcare data ecosystems including EMR and claims data, along with their strengths and limitations. You have demonstrated experience working alongside sales teams in a pre-sales, solutions engineering, or similar capacity. You are confident communicating complex technical concepts to both technical and non-technical audiences. An advanced clinical or scientific degree is preferred, along with strong initiative, independence, and experience in fast-moving startup environments.

• 7+ years of experience in healthcare, biotech, pharma, or consulting in customer-facing roles
• Strong hands-on expertise with real-world healthcare data (EMR, claims, or similar datasets)
• Advanced SQL skills with exposure to Python or R preferred
• Proven experience supporting sales cycles in a technical or solutions engineering capacity
• Strong communication skills with the ability to simplify complex technical concepts
• Background in clinical, scientific, or data-focused disciplines (advanced degree preferred)
• Comfortable working independently in fast-paced, startup-style environments

Benefits

• Competitive base salary with performance-based commission structure
• Comprehensive health coverage including medical, dental, and vision insurance
• Paid parental leave for eligible employees
• Retirement savings plan (401k) with employer support
• Flexible remote-first work environment with adaptable vacation policy
• Home office stipend to support remote work setup
• Additional financial wellness and insurance benefits (FSA, life, disability coverage)
• Opportunities to attend offsites and team gatherings several times per year

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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